Publications of Miguel A Nicolelis     :chronological  combined listing:

%% Papers Published   
@article{fds114979,
   Author = {JM Carmena and MA Lebedev and RE Crist and JE O'Doherty and DM Santucci and DF Dimitrov and PG Patil and CS Henriquez and MA Nicolelis},
   Title = {Learning to control a brain-machine interface for reaching
             and grasping by primates.},
   Journal = {PLoS biology, United States},
   Volume = {1},
   Number = {2},
   Pages = {E42},
   Year = {2003},
   Month = {November},
   ISSN = {1545-7885},
   Keywords = {Animals • Arm • Artificial Intelligence •
             Behavior, Animal • Biomechanics* • Biophysics*
             • Brain • Brain Mapping • Electromyography
             • Electrophysiology • Female • Hand •
             Hand Strength* • Learning • Macaca • Models,
             Neurological • Models, Statistical • Models,
             Theoretical • Motor Activity • Motor Cortex •
             Movement • Neurons • Primates • Psychomotor
             Performance • Robotics • Somatosensory Cortex
             • Space Perception • Time Factors •
             metabolism • methods • pathology • pathology*
             • physiology*},
   Abstract = {Reaching and grasping in primates depend on the coordination
             of neural activity in large frontoparietal ensembles. Here
             we demonstrate that primates can learn to reach and grasp
             virtual objects by controlling a robot arm through a
             closed-loop brain-machine interface (BMIc) that uses
             multiple mathematical models to extract several motor
             parameters (i.e., hand position, velocity, gripping force,
             and the EMGs of multiple arm muscles) from the electrical
             activity of frontoparietal neuronal ensembles. As single
             neurons typically contribute to the encoding of several
             motor parameters, we observed that high BMIc accuracy
             required recording from large neuronal ensembles. Continuous
             BMIc operation by monkeys led to significant improvements in
             both model predictions and behavioral performance. Using
             visual feedback, monkeys succeeded in producing robot
             reach-and-grasp movements even when their arms did not move.
             Learning to operate the BMIc was paralleled by functional
             reorganization in multiple cortical areas, suggesting that
             the dynamic properties of the BMIc were incorporated into
             motor and sensory cortical representations.},
   Key = {fds114979}
}

@article{fds114981,
   Author = {MC Wiest and MA Nicolelis},
   Title = {Behavioral detection of tactile stimuli during 7-12 Hz
             cortical oscillations in awake rats.},
   Journal = {Nature neuroscience, United States},
   Volume = {6},
   Number = {9},
   Pages = {913-4},
   Year = {2003},
   Month = {September},
   ISSN = {1097-6256},
   Keywords = {Animals • Behavior, Animal • Biological Clocks
             • Cerebral Cortex • Female • Immobilization
             • Physical Stimulation • Rats • Rats,
             Long-Evans • Reaction Time • Touch •
             Vibrissae • Wakefulness • methods •
             physiology • physiology*},
   Abstract = {Prominent 7-12 Hz oscillations in the primary somatosensory
             cortex (S1) of awake but immobile rats might represent a
             seizure-like state in which neuronal burst firing renders
             animals unresponsive to incoming tactile stimuli; others
             have proposed that these oscillations are analogous to human
             mu rhythm. To test whether rats can respond to tactile
             stimuli during 7-12 Hz oscillatory activity, we trained
             head-immobilized awake animals to indicate whether they
             could detect the occurrence of transient whisker deflections
             while we recorded local field potentials (LFPs) from
             microelectrode arrays implanted bilaterally in the S1
             whisker representation area. They responded rapidly and
             reliably, suggesting that this brain rhythm represents
             normal physiological activity that does not preclude
             perception.},
   Key = {fds114981}
}

@article{fds114982,
   Author = {MA Nicolelis and D Dimitrov and JM Carmena and R Crist and G Lehew and JD
             Kralik, SP Wise},
   Title = {Chronic, multisite, multielectrode recordings in macaque
             monkeys.},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America, United States},
   Volume = {100},
   Number = {19},
   Pages = {11041-6},
   Year = {2003},
   Month = {September},
   ISSN = {0027-8424},
   Keywords = {Action Potentials • Animals • Cerebral Cortex
             • Electrodes • Female • Macaca mulatta •
             Male • physiology*},
   Abstract = {A paradigm is described for recording the activity of single
             cortical neurons from awake, behaving macaque monkeys. Its
             unique features include high-density microwire arrays and
             multichannel instrumentation. Three adult rhesus monkeys
             received microwire array implants, totaling 96-704
             microwires per subject, in up to five cortical areas,
             sometimes bilaterally. Recordings 3-4 weeks after
             implantation yielded 421 single neurons with a mean
             peak-to-peak voltage of 115 +/- 3 microV and a
             signal-to-noise ratio of better than 5:1. As many as 247
             cortical neurons were recorded in one session, and at least
             58 neurons were isolated from one subject 18 months after
             implantation. This method should benefit neurophysiological
             investigation of learning, perception, and sensorimotor
             integration in primates and the development of
             neuroprosthetic devices.},
   Key = {fds114982}
}

@article{fds114980,
   Author = {MS Matell and WH Meck and MA Nicolelis},
   Title = {Interval timing and the encoding of signal duration by
             ensembles of cortical and striatal neurons.},
   Journal = {Behavioral neuroscience, United States},
   Volume = {117},
   Number = {4},
   Pages = {760-73},
   Year = {2003},
   Month = {August},
   ISSN = {0735-7044},
   Keywords = {Animals • Cerebral Cortex • Conditioning, Operant
             • Corpus Striatum • Discrimination Learning*
             • Male • Neurons • Rats • Rats,
             Sprague-Dawley • Time Perception* • physiology
             • physiology*},
   Abstract = {This study investigated the firing patterns of striatal and
             cortical neurons in rats in a temporal generalization task.
             Striatal and cortical ensembles were recorded in rats
             trained to lever press at 2 possible criterion durations (10
             s or 40 s from tone onset). Twenty-two percent of striatal
             and 15% of cortical cells had temporally specific
             modulations in their firing rate, firing at a significantly
             different rate around 10 s compared with 40 s. On 80% of
             trials, a post hoc analysis of the trial-by-trial
             consistency of the firing rates of an ensemble of neurons
             predicted whether a spike train came from a time window
             around 10 s versus around 40 s. Results suggest that
             striatal and cortical neurons encode specific durations in
             their firing rate and thereby serve as components of a
             neural circuit used to represent duration.},
   Key = {fds114980}
}

@article{fds114978,
   Author = {MA Nicolelis},
   Title = {Brain-machine interfaces to restore motor function and probe
             neural circuits.},
   Journal = {Nature reviews. Neuroscience, England},
   Volume = {4},
   Number = {5},
   Pages = {417-22},
   Year = {2003},
   Month = {May},
   ISSN = {1471-003X},
   Keywords = {Animals • Humans • Motor Activity • Motor
             Cortex • Nerve Net • Neuronal Plasticity •
             Paralysis • Prostheses and Implants* • pathology
             • physiology • physiology* •
             therapy},
   Key = {fds114978}
}

@article{fds114972,
   Author = {I Obeid and JC Morizio and KA Moxon and MA Nicolelis and PD
             Wolf},
   Title = {Two multichannel integrated circuits for neural recording
             and signal processing.},
   Journal = {IEEE transactions on bio-medical engineering, United
             States},
   Volume = {50},
   Number = {2},
   Pages = {255-8},
   Year = {2003},
   Month = {February},
   ISSN = {0018-9294},
   Keywords = {Action Potentials • Amplifiers* • Animals •
             Artifacts • Electrodes, Implanted •
             Electrophysiology • Equipment Design • Feasibility
             Studies • Haplorhini • Miniaturization •
             Neurons • Pilot Projects • Quality Control •
             Rats • Semiconductors • Somatosensory Cortex
             • instrumentation* • physiology •
             physiology*},
   Abstract = {We have developed, manufactured, and tested two analog CMOS
             integrated circuit "neurochips" for recording from arrays of
             densely packed neural electrodes. Device A is a 16-channel
             buffer consisting of parallel noninverting amplifiers with a
             gain of 2 V/V. Device B is a 16-channel two-stage analog
             signal processor with differential amplification and
             high-pass filtering. It features selectable gains of 250 and
             500 V/V as well as reference channel selection. The
             resulting amplifiers on Device A had a mean gain of 1.99 V/V
             with an equivalent input noise of 10 microV(rms). Those on
             Device B had mean gains of 53.4 and 47.4 dB with a high-pass
             filter pole at 211 Hz and an equivalent input noise of 4.4
             microV(rms). Both devices were tested in vivo with electrode
             arrays implanted in the somatosensory cortex.},
   Key = {fds114972}
}

@article{fds114947,
   Author = {MA Nicolelis and EE Fanselow},
   Title = {Dynamic shifting in thalamocortical processing during
             different behavioural states.},
   Journal = {Philosophical transactions of the Royal Society of London.
             Series B, Biological sciences, England},
   Volume = {357},
   Number = {1428},
   Pages = {1753-8},
   Year = {2002},
   Month = {December},
   ISSN = {0962-8436},
   Keywords = {Animals • Behavior, Animal • Cerebral Cortex
             • Models, Neurological • Neural Pathways •
             Rats • Thalamus • physiology •
             physiology*},
   Abstract = {Recent experiments in our laboratory have indicated that as
             rats shift the behavioural strategy employed to explore
             their surrounding environment, there is a parallel change in
             the physiological properties of the neuronal ensembles that
             define the main thalamocortical loop of the trigeminal
             somatosensory system. Based on experimental evidence from
             several laboratories, we propose that this concurrent shift
             in behavioural strategy and thalamocortical physiological
             properties provides rats with an efficient way to optimize
             either the detection or analysis of complex tactile
             stimuli.},
   Key = {fds114947}
}

@article{fds114885,
   Author = {MA Nicolelis},
   Title = {The amazing adventures of robotrat.},
   Journal = {Trends Cogn Sci},
   Volume = {6},
   Number = {11},
   Pages = {449-450},
   Year = {2002},
   Month = {November},
   ISSN = {1364-6613},
   Abstract = {By using electrical brain stimulation to deliver both
             'virtual' tactile cues and rewards to freely roaming rats,
             Talwar et al. have been able to instruct animals remotely to
             navigate through complex mazes and natural environments they
             have never visited before. These results provide both an
             elegant alternative way to train animals and a new approach
             to study basic neurophysiological principles of animal
             navigation.},
   Key = {fds114885}
}

@article{fds114938,
   Author = {MA Nicolelis and S Ribeiro},
   Title = {Multielectrode recordings: the next steps.},
   Journal = {Current opinion in neurobiology, England},
   Volume = {12},
   Number = {5},
   Pages = {602-6},
   Year = {2002},
   Month = {October},
   ISSN = {0959-4388},
   Keywords = {Animals • Electrodes • Electrophysiology •
             Nervous System Physiology* • Neurons • methods*
             • physiology},
   Abstract = {At present, a growing number of laboratories are acquiring
             the capability of simultaneously monitoring the
             extracellular activity of over a hundred single neurons in
             both anaesthetized and awake animals. This paradigm, known
             as multielectrode recordings, is changing the face of
             systems neuroscience by allowing, for the first time, the
             visualization of the function of entire neural circuits at
             work. Current methods of multielectrode recording employ
             state of the art technologies; two potential new avenues of
             research will likely emerge from the further development of
             these experimental paradigms.},
   Key = {fds114938}
}

@article{fds114941,
   Author = {MA Nicolelis and JK Chapin},
   Title = {Controlling robots with the mind.},
   Journal = {Scientific American, United States},
   Volume = {287},
   Number = {4},
   Pages = {46-53},
   Year = {2002},
   Month = {October},
   ISSN = {0036-8733},
   Keywords = {Action Potentials • Animals • Aotidae • Brain
             • Electrodes, Implanted • Electronics •
             Electrophysiology • Female • Miniaturization
             • Motor Cortex • Motor Neurons • Nervous
             System Diseases • Paralysis • Prostheses and
             Implants • Rats • Robotics • instrumentation*
             • physiology • physiology* •
             therapy},
   Key = {fds114941}
}

@article{fds114881,
   Author = {DB Katz and MA Nicolelis and SA Simon},
   Title = {Gustatory processing is dynamic and distributed.},
   Journal = {Current opinion in neurobiology, England},
   Volume = {12},
   Number = {4},
   Pages = {448-54},
   Year = {2002},
   Month = {August},
   ISSN = {0959-4388},
   Keywords = {Action Potentials • Amygdala • Animals •
             Brain • Brain Stem • Cerebral Cortex •
             Hypothalamus • Models, Neurological • Neural
             Pathways • Somatosensory Cortex • Taste •
             Taste Buds • Thalamus • Time Factors •
             anatomy & histology • physiology •
             physiology*},
   Abstract = {The process of gustatory coding consists of neural responses
             that provide information about the quantity and quality of
             food, its generalized sensation, its hedonic value, and
             whether it should be swallowed. Many of the models presently
             used to analyze gustatory signals are static in that they
             use the average neural firing rate as a measure of activity
             and are unimodal in the sense they are thought to only
             involve chemosensory information. We have recently
             elaborated upon a dynamic model of gustatory coding that
             involves interactions between neurons in single as well as
             in spatially separate, gustatory and somatosensory regions.
             We propose that the specifics of gustatory responses grow
             not only out of information ascending from taste receptor
             cells, but also from the cycling of information around a
             massively interconnected system.},
   Key = {fds114881}
}

@article{fds114937,
   Author = {MA Nicolelis and EE Fanselow},
   Title = {Thalamocortical [correction of Thalamcortical] optimization
             of tactile processing according to behavioral
             state.},
   Journal = {Nature neuroscience, United States},
   Volume = {5},
   Number = {6},
   Pages = {517-23},
   Year = {2002},
   Month = {June},
   ISSN = {1097-6256},
   Keywords = {Afferent Pathways • Animals • Behavior, Animal
             • Efferent Pathways • Models, Neurological •
             Rats • Somatosensory Cortex • Thalamus •
             Touch • physiology • physiology*},
   Abstract = {We propose a conceptual model that describes the operation
             of the main thalamocortical loop of the rat somatosensory
             system. According to this model, the asynchronous
             convergence of ascending and descending projections
             dynamically alters the physiological properties of thalamic
             neurons in the ventral posterior medial (VPM) nucleus as
             rats shift between three behavioral states. Two of these
             states are characterized by distinct modes of rhythmic
             whisker movements. We posit that these simultaneous shifts
             in exploratory behavioral strategy and in the physiological
             properties of VPM neurons allow rats to either (i) optimize
             the detection of stimuli that are novel or difficult to
             sense or (ii) process complex patterns of multi-whisker
             stimulation.},
   Key = {fds114937}
}

@article{fds114882,
   Author = {MA Nicolelis},
   Title = {Depression at thalamocortical synapses: the key for cortical
             neuronal adaptation?},
   Journal = {Neuron, United States},
   Volume = {34},
   Number = {3},
   Pages = {331-2},
   Year = {2002},
   Month = {April},
   ISSN = {0896-6273},
   Keywords = {Adaptation, Physiological • Animals • Cerebral
             Cortex • Neuronal Plasticity* • Rats •
             Synapses • Synaptic Transmission • Thalamus •
             Touch • cytology • metabolism* •
             physiology*},
   Abstract = {Neuronal adaptation to repetitive sensory stimuli is
             ubiquitous in the mammalian cortex. Despite its prevalence,
             the cellular mechanisms underlying this basic physiological
             property remain a matter of dispute. In this issue of
             Neuron, Chung et al. provide conclusive evidence that
             depression of thalamocortical synapses may play a
             significant role in the expression of neuronal adaptation in
             the rat somatosensory cortex.},
   Key = {fds114882}
}

@article{fds114889,
   Author = {DB Katz and SA Simon and MA Nicolelis},
   Title = {Taste-specific neuronal ensembles in the gustatory cortex of
             awake rats.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, United States},
   Volume = {22},
   Number = {5},
   Pages = {1850-7},
   Year = {2002},
   Month = {March},
   ISSN = {1529-2401},
   Keywords = {Action Potentials • Animals • Cerebral Cortex
             • Citric Acid • Electrodes, Implanted •
             Electrophysiology • Female • Male • Neurons
             • Nicotine • Quinine • Rats • Rats,
             Long-Evans • Reaction Time • Sodium Chloride
             • Statistics • Stimulation, Chemical •
             Sucrose • Taste • Tongue • Wakefulness •
             cytology • drug effects • pharmacology •
             physiology • physiology*},
   Abstract = {In gustatory cortex, single-neuron activity reflects the
             multimodal processing of taste stimuli. Little is known,
             however, about the interactions between gustatory cortical
             (GC) neurons during tastant processing. Here, these
             interactions were characterized. It was found that 36% (85
             of 237) of neuron pairs, including many (61%) in which one
             or both single units were not taste specific, produced
             significant cross-correlations (CCs) to a subset of tastants
             across a hundreds of milliseconds timescale. Significant CCs
             arose from the coupling between the firing rates of neurons
             as those rates changed through time. Such coupling
             significantly increased the amount of tastant-specific
             information contained in ensembles. These data suggest that
             taste-specific GC assemblies may transiently form and
             coevolve on a behaviorally appropriate timescale,
             contributing to rats' ability to discriminate
             tastants.},
   Key = {fds114889}
}

@article{fds114883,
   Author = {MG Shuler and DJ Krupa and MA Nicolelis},
   Title = {Integration of bilateral whisker stimuli in rats: role of
             the whisker barrel cortices.},
   Journal = {Cerebral cortex (New York, N.Y. : 1991), United
             States},
   Volume = {12},
   Number = {1},
   Pages = {86-97},
   Year = {2002},
   Month = {January},
   ISSN = {1047-3211},
   Keywords = {Animals • Behavior, Animal • Electric Stimulation
             • Electrodes, Implanted • Functional Laterality
             • Male • Physical Stimulation • Psychomotor
             Performance • Rats • Rats, Long-Evans •
             Somatosensory Cortex • Vibrissae • innervation*
             • physiology • physiology*},
   Abstract = {Recently, we demonstrated that neural responses within the
             whisker region of the primary somatosensory cortex (SIw) of
             rats are profoundly influenced by the spatiotemporal
             attributes of ipsilateral, as well as contralateral, whisker
             stimuli. As inactivation of one SIw eliminates in the intact
             SIw both ipsilaterally evoked responses and the influence of
             ipsilateral stimulation on contralaterally evoked activity,
             we proposed that interhemispheric interactions between the
             SIws may be important for integrating bilateral whisker
             information. To test whether rats can recognize the
             bilateral nature of a whisker stimulus, we developed a
             tactile discrimination task that required rats to conjointly
             determine distances to a left and a right discriminandum as
             equidistant or non-equidistant using only their facial
             whiskers. All rats trained in this task achieved performance
             levels indicative of an ability to integrate bilateral
             whisker information. Testing during unilateral, as well as
             bilateral, inactivation of the SIws indicated that rats rely
             on both SIws for detecting the bilateral nature of a whisker
             stimulus. Rats were unable to perform the task without both
             sets of whiskers, a fact that indicates that the whiskers
             (and not other modalities) were used to perform this task.
             The findings presented here indicate that rats can solve a
             task that requires the conjoint detection of left and right
             whisker-mediated distance information and implicate the SIws
             as central to this ability.},
   Key = {fds114883}
}

@article{fds114890,
   Title = {Nicolelis MAL, Fanselow EE (2002) Dynamic shifting in
             thalamocortical processing during different behavior.  Phil
             Trans R Soc Lond B 357: 1753-1758.},
   Year = {2002},
   Key = {fds114890}
}

@article{fds114936,
   Author = {A Das and JG Franca and R Gattass and JH Kaas and MA Nicolelis and C
             Timo-Iaria, CD Vargas and NM Weinberger and E Volchan},
   Title = {The brain decade in debate: VI. Sensory and motor maps:
             dynamics and plasticity.},
   Journal = {Brazilian journal of medical and biological research =
             Revista brasileira de pesquisas médicas e biológicas /
             Sociedade Brasileira de Biofísica ... [et al.],
             Brazil},
   Volume = {34},
   Number = {12},
   Pages = {1497-508},
   Year = {2001},
   Month = {December},
   ISSN = {0100-879X},
   Keywords = {Animals • Brain Mapping* • Cerebral Cortex •
             Emotions • Humans • Learning • Motor Cortex
             • Neuronal Plasticity • Neurons •
             Somatosensory Cortex • Visual Perception •
             cytology • physiology • physiology*},
   Abstract = {This article is an edited transcription of a virtual
             symposium promoted by the Brazilian Society of Neuroscience
             and Behavior (SBNeC). Although the dynamics of sensory and
             motor representations have been one of the most studied
             features of the central nervous system, the actual
             mechanisms of brain plasticity that underlie the dynamic
             nature of sensory and motor maps are not entirely unraveled.
             Our discussion began with the notion that the processing of
             sensory information depends on many different cortical
             areas. Some of them are arranged topographically and others
             have non-topographic (analytical) properties. Besides a
             sensory component, every cortical area has an efferent
             output that can be mapped and can influence motor behavior.
             Although new behaviors might be related to modifications of
             the sensory or motor representations in a given cortical
             area, they can also be the result of the acquired ability to
             make new associations between specific sensory cues and
             certain movements, a type of learning known as conditioning
             motor learning. Many types of learning are directly related
             to the emotional or cognitive context in which a new
             behavior is acquired. This has been demonstrated by
             paradigms in which the receptive field properties of
             cortical neurons are modified when an animal is engaged in a
             given discrimination task or when a triggering feature is
             paired with an aversive stimulus. The role of the
             cholinergic input from the nucleus basalis to the neocortex
             was also highlighted as one important component of the
             circuits responsible for the context-dependent changes that
             can be induced in cortical maps.},
   Key = {fds114936}
}

@article{fds114939,
   Author = {EE Fanselow and K Sameshima and LA Baccala and MA
             Nicolelis},
   Title = {Thalamic bursting in rats during different awake behavioral
             states.},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America, United States},
   Volume = {98},
   Number = {26},
   Pages = {15330-5},
   Year = {2001},
   Month = {December},
   ISSN = {0027-8424},
   Keywords = {Animals • Behavior, Animal* • Electric Stimulation
             • Neurons • Rats • Thalamus •
             Wakefulness* • physiology • physiology*},
   Abstract = {Thalamic neurons have two firing modes: tonic and bursting.
             It was originally suggested that bursting occurs only during
             states such as slow-wave sleep, when little or no
             information is relayed by the thalamus. However, bursting
             occurs during wakefulness in the visual and somatosensory
             thalamus, and could theoretically influence sensory
             processing. Here we used chronically implanted electrodes to
             record from the ventroposterior medial thalamic nucleus
             (VPM) and primary somatosensory cortex (SI) of awake, freely
             moving rats during different behaviors. These behaviors
             included quiet immobility, exploratory whisking
             (large-amplitude whisker movements), and whisker twitching
             (small-amplitude, 7- to 12-Hz whisker movements). We
             demonstrated that thalamic bursting appeared during the
             oscillatory activity occurring before whisker twitching
             movements, and continued throughout the whisker twitching.
             Further, thalamic bursting occurred during whisker twitching
             substantially more often than during the other behaviors,
             and a neuron was most likely to respond to a stimulus if a
             burst occurred approximately 120 ms before the stimulation.
             In addition, the amount of cortical area activated was
             similar to that during whisking. However, when SI was
             inactivated by muscimol infusion, whisker twitching was
             never observed. Finally, we used a statistical technique
             called partial directed coherence to identify the direction
             of influence of neural activity between VPM and SI, and
             observed that there was more directional coherence from SI
             to VPM during whisker twitching than during the other
             behaviors. Based on these findings, we propose that during
             whisker twitching, a descending signal from SI triggers
             thalamic bursting that primes the thalamocortical loop for
             enhanced signal detection during the whisker twitching
             behavior.},
   Key = {fds114939}
}

@article{fds114935,
   Author = {AA Ghazanfar and DJ Krupa and MA Nicolelis},
   Title = {Role of cortical feedback in the receptive field structure
             and nonlinear response properties of somatosensory thalamic
             neurons.},
   Journal = {Experimental brain research. Experimentelle Hirnforschung.
             Expérimentation cérébrale, Germany},
   Volume = {141},
   Number = {1},
   Pages = {88-100},
   Year = {2001},
   Month = {November},
   ISSN = {0014-4819},
   Keywords = {Animals • Feedback • Female • Neurons •
             Nonlinear Dynamics • Rats • Rats, Long-Evans
             • Reaction Time • Somatosensory Cortex •
             Thalamus • Ventral Thalamic Nuclei • Vibrissae
             • physiology • physiology*},
   Abstract = {Previous studies have suggested that the descending pathway
             from the primary somatosensory (SI) cortex to the ventral
             posterior nucleus of the thalamus has only a mild
             facilitative influence over thalamic neurons. Given the
             large numbers of corticothalamic terminations within the rat
             somatosensory thalamus and their complex topography, we
             sought to examine the role of corticothalamic feedback in
             the genesis of spatiotemporal receptive fields and the
             integration of complex tactile stimuli in the thalamus. By
             combining focal cortical inactivation (produced by
             microinjection of the GABA(A) agonist muscimol), with
             chronic multielectrode recordings, we observed that feedback
             from the rat SI cortex has multiple influences on its
             primary thalamic relay, the ventral posterior medial (VPM)
             nucleus. Our data demonstrate that, when single-whisker
             stimuli were used, the elimination of cortical feedback
             caused significant changes in the spatiotemporal structure
             of the receptive fields of VPM neurons. Cortical feedback
             also accounted for the nonlinear summation of VPM neural
             responses to simultaneously stimulated whiskers, in effect
             "linearizing" the responses. These results argue that the
             integration and transmission of tactile information through
             VPM are strongly influenced by the state of SI
             cortex.},
   Key = {fds114935}
}

@article{fds114933,
   Author = {JD Kralik and DF Dimitrov and DJ Krupa and DB Katz and D Cohen and MA
             Nicolelis},
   Title = {Techniques for long-term multisite neuronal ensemble
             recordings in behaving animals.},
   Journal = {Methods (San Diego, Calif.), United States},
   Volume = {25},
   Number = {2},
   Pages = {121-50},
   Year = {2001},
   Month = {October},
   ISSN = {1046-2023},
   Keywords = {Animals • Behavior, Animal* • Brain •
             Electrodes • Electrophysiology • Mice •
             Multivariate Analysis • Neurology • Neurons •
             Neurosurgery • Rats • Time Factors • methods*
             • pathology • physiology*},
   Abstract = {Advances in our understanding of neural systems will go hand
             in hand with improvements in the experimental techniques
             used to study these systems. This article describes a series
             of methodological developments aimed at enhancing the power
             of the methods needed to record simultaneously from
             populations of neurons over broad regions of the brain in
             awake, behaving animals. First, our laboratory has made many
             advances in electrode design, including movable bundle and
             array electrodes and smaller electrode assemblies. Second,
             to perform longer and more complex multielectrode
             implantation surgeries in primates, we have modified our
             surgical procedures by employing comprehensive physiological
             monitoring akin to human neuroanesthesia. We have also
             developed surgical implantation techniques aimed at
             minimizing brain tissue damage and facilitating penetration
             of the cortical surface. Third, we have integrated new
             technologies into our neural ensemble, stimulus and
             behavioral recording experiments to provide more detailed
             measurements of experimental variables. Finally, new data
             analytical techniques are being used in the laboratory to
             analyze increasingly large quantities of
             data.},
   Key = {fds114933}
}

@article{fds114884,
   Author = {DJ Krupa and MS Matell and AJ Brisben and LM Oliveira and MA
             Nicolelis},
   Title = {Behavioral properties of the trigeminal somatosensory system
             in rats performing whisker-dependent tactile
             discriminations.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, United States},
   Volume = {21},
   Number = {15},
   Pages = {5752-63},
   Year = {2001},
   Month = {August},
   ISSN = {1529-2401},
   Keywords = {Afferent Pathways • Animals • Behavior, Animal
             • Discrimination Learning • Electrodes, Implanted
             • Facial Nerve • GABA Agonists • Male •
             Mechanoreceptors • Muscimol • Physical Stimulation
             • Rats • Rats, Long-Evans • Receptors, GABA-A
             • Somatosensory Cortex • Touch • Trigeminal
             Nerve • Vibrissae • administration & dosage •
             agonists • drug effects • innervation •
             instrumentation • pharmacology • physiology •
             physiology*},
   Abstract = {To address several fundamental questions regarding how
             multiwhisker tactile stimuli are integrated and processed by
             the trigeminal somatosensory system, a novel behavioral task
             was developed that required rats to discriminate the width
             of either a wide or narrow aperture using only their large
             mystacial vibrissae. Rats quickly acquired this task and
             could accurately discriminate between apertures of very
             similar width. Accurate discriminations required a large
             number of intact facial whiskers. Systematic removal of
             individual whiskers caused a decrease in performance that
             was directly proportional to the number of whiskers removed,
             indicating that tactile information from multiple whiskers
             is integrated as rats gauge aperture width. In different
             groups of rats, different sets of whiskers were removed in
             patterns that preferentially left whisker rows or whisker
             arcs intact. These different whisker removals caused similar
             decreases in performance, indicating that individual
             whiskers within the vibrissal array are functionally
             equivalent during performance of this task. Lesions of the
             barrel cortex abolished the ability of rats to discriminate,
             demonstrating that this region is critically involved in
             this tactile behavior. Interestingly, sectioning the facial
             nerve, which abolished whisker movements, did not affect the
             ability to perform accurate discriminations, indicating that
             active whisker movements are not necessary for accurate
             performance of the task. Collectively, these results
             indicate that the trigeminal somatosensory system forms
             internal representations of external stimuli (in this case,
             aperture width) by integrating tactile input from many
             functionally equivalent facial whiskers and that the
             vibrissal array can function as a fine-grained distance
             detector without active whisker movements.},
   Key = {fds114884}
}

@article{fds114940,
   Author = {MG Shuler and DJ Krupa and MA Nicolelis},
   Title = {Bilateral integration of whisker information in the primary
             somatosensory cortex of rats.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, United States},
   Volume = {21},
   Number = {14},
   Pages = {5251-61},
   Year = {2001},
   Month = {July},
   ISSN = {1529-2401},
   Keywords = {Analysis of Variance • Animals • Electrodes,
             Implanted • Evoked Potentials • Female •
             Functional Laterality • Microinjections • Muscimol
             • Neurons • Physical Stimulation • Rats
             • Rats, Long-Evans • Reaction Time •
             Somatosensory Cortex • Touch • Vibrissae •
             administration & dosage • cytology • drug effects
             • innervation • physiology •
             physiology*},
   Abstract = {The isomorphic representation of the contralateral whisker
             pad in the rodent cerebral cortex has served as a canonical
             example in primary somatosensory areas that the
             contralateral body surface is spatially represented as a
             topographic map. By characterizing responses evoked by
             multiwhisker stimuli, we provide direct evidence that the
             whisker region of the rat primary somatosensory cortex (SI)
             integrates information from both contralateral and
             ipsilateral whisker pads. The proportions of SI neurons
             responsive to ipsilateral whisker stimuli, as well as their
             response probabilities, increased with the number of
             ipsilateral whiskers stimulated. Under bilateral whisker
             stimulation, the responses of 95% of neurons recorded were
             affected by stimulation of ipsilateral whiskers.
             Contralateral tactile responses of SI neurons were
             profoundly influenced by preceding ipsilateral stimuli and
             vice versa. This effect depended on both the spatial
             location and the relative timing of bilateral whisker
             stimuli, leading to both spatial and temporal asymmetries of
             interaction. Bilateral whisker stimulation resulted in only
             modest changes in evoked response latency. Previous
             ipsilateral stimulation was also shown to affect tactile
             responses evoked by later ipsilateral stimuli. Inactivation
             of the opposite SI abolished ipsilaterally evoked responses
             as well as their influence on subsequently evoked
             contralateral responses in the intact SI. Based on these
             results, we conclude that the rat SI integrates information
             from both whisker pads and propose that such interactions
             may underlie the ability of rats to discriminate bilateral
             tactile stimuli.},
   Key = {fds114940}
}

@article{fds114886,
   Author = {DB Katz and SA Simon and MA Nicolelis},
   Title = {Dynamic and multimodal responses of gustatory cortical
             neurons in awake rats.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, United States},
   Volume = {21},
   Number = {12},
   Pages = {4478-89},
   Year = {2001},
   Month = {June},
   ISSN = {1529-2401},
   Keywords = {Action Potentials • Analysis of Variance • Animals
             • Cerebral Cortex • Citric Acid • Electrodes,
             Implanted • Female • Male • Microelectrodes
             • Neurons • Nicotine • Quinine • Rats
             • Rats, Long-Evans • Reaction Time • Signal
             Processing, Computer-Assisted • Sodium Chloride •
             Somatosensory Cortex • Stimulation, Chemical •
             Sucrose • Taste • Wakefulness •
             classification • pharmacology • physiology •
             physiology*},
   Abstract = {To investigate the dynamic aspects of gustatory activity, we
             recorded the responses of small ensembles of cortical
             neurons to tastants administered to awake rats. Multiple
             trials of each tastant were delivered during recordings made
             in oral somatosensory (SI) and gustatory cortex (GC). When
             integrated tastant responses (firing rates averaged across
             2.5 sec) were compared with water responses, 14.4% (13/90)
             of the GC neurons responded in a taste-specific manner. When
             time was considered as a source of information, however, the
             incidence of taste-specific firing increased: as many as 41%
             (37/90) of the recorded GC neurons exhibited taste-specific
             patterns of response. For 17% of the neurons identified as
             responding with taste-specific patterns, the stimulus that
             caused the most significant response was a function of the
             time since stimulus delivery. That is, a single neuron might
             respond most strongly to one tastant in the first 500 msec
             of a response and then respond most strongly to another
             tastant later in the response. Further analysis of the time
             courses of GC and SI cortical neural responses revealed that
             modulations of GC firing rate arose from three separable
             processes: early somatosensory input (less than
             approximately 0.2 sec post-stimulus), later chemosensory
             input ( approximately 0.2-1 sec), and delayed somatosensory
             input related to orofacial responses (more than
             approximately 1.0 sec). These data demonstrate that sensory
             information is available in the time course of GC responses
             and suggest the viability of views of gustatory processing
             that treat the temporal structure of cortical responses as
             an integral part of the neural code.},
   Key = {fds114886}
}

@article{fds114942,
   Author = {AA Ghazanfar and MA Nicolelis},
   Title = {Feature article: the structure and function of dynamic
             cortical and thalamic receptive fields.},
   Journal = {Cerebral cortex (New York, N.Y. : 1991), United
             States},
   Volume = {11},
   Number = {3},
   Pages = {183-93},
   Year = {2001},
   Month = {March},
   ISSN = {1047-3211},
   Keywords = {Animals • Auditory Pathways • Geniculate Bodies
             • Humans • Somatosensory Cortex • Ventral
             Thalamic Nuclei • Visual Cortex • Visual Fields
             • Visual Pathways • physiology*},
   Abstract = {Under natural conditions, animals must process
             spatiotemporally complex signals in order to guide adaptive
             behavior. It follows that the response properties of neurons
             should reflect the dynamic nature of such signals. Recently,
             several studies have demonstrated the existence of
             time-varying receptive fields in the auditory, visual and
             somatosensory thalamocortical pathways. The characteristics
             of these receptive fields suggest that they are constrained
             by the need to actively interpret time-varying stimuli.
             Here, we review these studies, the possible functions of
             these receptive fields, and how they might be generated in
             the thalamocortical pathway.},
   Key = {fds114942}
}

@article{fds114888,
   Author = {DJ Krupa and AJ Brisben and MA Nicolelis},
   Title = {A multi-channel whisker stimulator for producing
             spatiotemporally complex tactile stimuli.},
   Journal = {Journal of neuroscience methods, Netherlands},
   Volume = {104},
   Number = {2},
   Pages = {199-208},
   Year = {2001},
   Month = {January},
   ISSN = {0165-0270},
   Keywords = {Animals • Female • Neurons • Physical
             Stimulation • Rats • Rats, Long-Evans •
             Reaction Time • Somatosensory Cortex • Touch
             • Ventral Thalamic Nuclei • Vibrissae •
             innervation* • instrumentation* • methods* •
             physiology • physiology*},
   Abstract = {A system is described that delivers complex, biologically
             realistic, tactile stimuli to the rat's facial whisker pad
             by independently stimulating up to 16 individual facial
             whiskers in a flexible yet highly controlled and repeatable
             manner. The system is technically simple and inexpensive to
             construct. The system consists of an array of 16
             miniature-solenoid driven actuators that are attached to 16
             individual facial whiskers via very small (130 microm dia.)
             Teflon-coated stainless steel wires. When individual
             solenoids are energized, the wire is rapidly retracted,
             resulting in a deflection of individual whiskers. The rise
             time of deflection is approx. 1 mm/ms. Repeatable
             stimulation of individual whiskers can be achieved without
             touching adjacent whiskers, thereby allowing a very high
             density of stimulators to be attached within the spatially
             restricted region of the facial whisker pad. Complex
             patterns of whisker stimulation (designed to mimic
             biologically realistic stimuli) are delivered to the whisker
             pad by activating individual solenoid actuators in precisely
             controlled temporal patterns. These stimulations can be
             combined with multi-electrode single-unit ensemble
             recordings at multiple sites within the rat trigeminal
             somatosensory system. Analysis of neuronal population
             responses to these complex stimuli is intended to examine
             how the trigeminal somatosensory system encodes and
             processes spatiotemporally complex stimuli.},
   Key = {fds114888}
}

@article{fds114891,
   Author = {MA Nicolelis},
   Title = {Actions from thoughts.},
   Journal = {Nature, England},
   Volume = {409},
   Number = {6818},
   Pages = {403-7},
   Year = {2001},
   Month = {January},
   ISSN = {0028-0836},
   Keywords = {Brain* • Cochlear Implants • Computing
             Methodologies* • Epilepsy • Humans • Motor
             Activity • Therapy, Computer-Assisted* •
             User-Computer Interface • physiology* •
             therapy},
   Key = {fds114891}
}

@article{fds114880,
   Title = {Katz DB, Simon SA, Nicolelis MAL (2001) Electrophysiological
             studies of gustation in awake rats. In: Methods in
             Chemosensory Research (Methods and New Frontiers in
             Neuroscience Series, M.A.L. Nicolelis and S.A. Simon, eds.)
             CRC Press, pp. 339-357.},
   Year = {2001},
   Key = {fds114880}
}

@article{fds114934,
   Title = {Nicolelis MAL. Actions from thoughts.  Nature.  2001 Jan
             18;409 Suppl:403-407.},
   Year = {2001},
   Key = {fds114934}
}

@article{fds114887,
   Author = {MA Nicolelis and M Shuler},
   Title = {Thalamocortical and corticocortical interactions in the
             somatosensory system.},
   Journal = {Progress in brain research, Netherlands},
   Volume = {130},
   Pages = {90-110},
   Year = {2001},
   ISSN = {0079-6123},
   Keywords = {Animals • Cerebral Cortex • Feedback • Humans
             • Somatosensory Cortex • Synaptic Transmission
             • Thalamus • Touch • Vibrissae •
             physiology • physiology*},
   Key = {fds114887}
}

@article{fds114958,
   Author = {J Wessberg and CR Stambaugh and JD Kralik and PD Beck and M Laubach and JK
             Chapin, J Kim and SJ Biggs and MA Srinivasan and MA
             Nicolelis},
   Title = {Real-time prediction of hand trajectory by ensembles of
             cortical neurons in primates.},
   Journal = {Nature, ENGLAND},
   Volume = {408},
   Number = {6810},
   Pages = {361-5},
   Year = {2000},
   Month = {November},
   ISSN = {0028-0836},
   Keywords = {Animals • Aotus trivirgatus • Arm •
             Artificial Limbs* • Brain Mapping • Cerebral
             Cortex • Frontal Lobe • Motor Activity •
             Motor Cortex • Motor Neurons • Neural Conduction
             • Parietal Lobe • Robotics* • Signal
             Transduction • physiology • physiology*},
   Abstract = {Signals derived from the rat motor cortex can be used for
             controlling one-dimensional movements of a robot arm. It
             remains unknown, however, whether real-time processing of
             cortical signals can be employed to reproduce, in a robotic
             device, the kind of complex arm movements used by primates
             to reach objects in space. Here we recorded the simultaneous
             activity of large populations of neurons, distributed in the
             premotor, primary motor and posterior parietal cortical
             areas, as non-human primates performed two distinct motor
             tasks. Accurate real-time predictions of one- and
             three-dimensional arm movement trajectories were obtained by
             applying both linear and nonlinear algorithms to cortical
             neuronal ensemble activity recorded from each animal. In
             addition, cortically derived signals were successfully used
             for real-time control of robotic devices, both locally and
             through the Internet. These results suggest that long-term
             control of complex prosthetic robot arm movements can be
             achieved by simple real-time transformations of neuronal
             population signals derived from multiple cortical areas in
             primates.},
   Key = {fds114958}
}

@article{fds114975,
   Author = {EE Fanselow and AP Reid and MA Nicolelis},
   Title = {Reduction of pentylenetetrazole-induced seizure activity in
             awake rats by seizure-triggered trigeminal nerve
             stimulation.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, UNITED STATES},
   Volume = {20},
   Number = {21},
   Pages = {8160-8},
   Year = {2000},
   Month = {November},
   ISSN = {1529-2401},
   Keywords = {Animals • Cerebral Cortex • Cortical
             Synchronization • Disease Models, Animal •
             Electric Stimulation Therapy* • Electrodes, Implanted
             • Female • Functional Laterality • Heart Rate
             • Membrane Potentials • Pentylenetetrazole •
             Rats • Rats, Long-Evans • Reaction Time •
             Seizures • Thalamus • Trigeminal Nerve* •
             Wakefulness • chemically induced • diagnosis
             • physiopathology • therapy*},
   Abstract = {Stimulation of the vagus nerve has become an effective
             method for desynchronizing the highly coherent neural
             activity typically associated with epileptic seizures. This
             technique has been used in several animal models of seizures
             as well as in humans suffering from epilepsy. However,
             application of this technique has been limited to unilateral
             stimulation of the vagus nerve, typically delivered
             according to a fixed duty cycle, independently of whether
             ongoing seizure activity is present. Here, we report that
             stimulation of another cranial nerve, the trigeminal nerve,
             can also cause cortical and thalamic desynchronization,
             resulting in a reduction of seizure activity in awake rats.
             Furthermore, we demonstrate that providing this stimulation
             only when seizure activity begins results in more effective
             and safer seizure reduction per second of stimulation than
             with previous methods. Seizure activity induced by
             intraperitoneal injection of pentylenetetrazole was recorded
             from microwire electrodes in the thalamus and cortex of
             awake rats while the infraorbital branch of the trigeminal
             nerve was stimulated via a chronically implanted nerve cuff
             electrode. Continuous unilateral stimulation of the
             trigeminal nerve reduced electrographic seizure activity by
             up to 78%, and bilateral trigeminal stimulation was even
             more effective. Using a device that automatically detects
             seizure activity in real time on the basis of multichannel
             field potential signals, we demonstrated that
             seizure-triggered stimulation was more effective than the
             stimulation protocol involving a fixed duty cycle, in terms
             of the percent seizure reduction per second of stimulation.
             In contrast to vagus nerve stimulation studies, no
             substantial cardiovascular side effects were observed by
             unilateral or bilateral stimulation of the trigeminal nerve.
             These findings suggest that trigeminal nerve stimulation is
             safe in awake rats and should be evaluated as a therapy for
             human seizures. Furthermore, the results demonstrate that
             seizure-triggered trigeminal nerve stimulation is
             technically feasible and could be further developed, in
             conjunction with real-time seizure-predicting paradigms, to
             prevent seizures and reduce exposure to nerve
             stimulation.},
   Key = {fds114975}
}

@article{fds114910,
   Author = {M Laubach and J Wessberg and MA Nicolelis},
   Title = {Cortical ensemble activity increasingly predicts behaviour
             outcomes during learning of a motor task.},
   Journal = {Nature, ENGLAND},
   Volume = {405},
   Number = {6786},
   Pages = {567-71},
   Year = {2000},
   Month = {June},
   ISSN = {0028-0836},
   Keywords = {Analysis of Variance • Animals • Electromyography
             • Learning • Male • Motor Cortex • Motor
             Skills • Neurons • Rats • Reaction Time
             • cytology • physiology •
             physiology*},
   Abstract = {When an animal learns to make movements in response to
             different stimuli, changes in activity in the motor cortex
             seem to accompany and underlie this learning. The precise
             nature of modifications in cortical motor areas during the
             initial stages of motor learning, however, is largely
             unknown. Here we address this issue by chronically recording
             from neuronal ensembles located in the rat motor cortex,
             throughout the period required for rats to learn a
             reaction-time task. Motor learning was demonstrated by a
             decrease in the variance of the rats' reaction times and an
             increase in the time the animals were able to wait for a
             trigger stimulus. These behavioural changes were correlated
             with a significant increase in our ability to predict the
             correct or incorrect outcome of single trials based on three
             measures of neuronal ensemble activity: average firing rate,
             temporal patterns of firing, and correlated firing. This
             increase in prediction indicates that an association between
             sensory cues and movement emerged in the motor cortex as the
             task was learned. Such modifications in cortical ensemble
             activity may be critical for the initial learning of motor
             tasks.},
   Key = {fds114910}
}

@article{fds114949,
   Author = {AA Ghazanfar and CR Stambaugh and MA Nicolelis},
   Title = {Encoding of tactile stimulus location by somatosensory
             thalamocortical ensembles.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, UNITED STATES},
   Volume = {20},
   Number = {10},
   Pages = {3761-75},
   Year = {2000},
   Month = {May},
   ISSN = {1529-2401},
   Keywords = {Action Potentials • Anesthesia • Animals •
             Behavior, Animal • Discrimination Learning •
             Electrophysiology • Female • Models, Neurological*
             • Neurons, Afferent • Rats • Rats, Long-Evans
             • Reaction Time • Somatosensory Cortex •
             Thalamus • Touch • Vibrissae • cytology*
             • innervation • physiology •
             physiology*},
   Abstract = {The exquisite modular anatomy of the rat somatosensory
             system makes it an excellent model to test the potential
             coding strategies used to discriminate the location of a
             tactile stimulus. Here, we investigated how ensembles of
             simultaneously recorded single neurons in layer V of primary
             somatosensory (SI) cortex and in the ventral posterior
             medial (VPM) nucleus of the thalamus of the anesthetized rat
             may encode the location of a single whisker stimulus on a
             single trial basis. An artificial neural network based on a
             learning vector quantization algorithm, was used to identify
             putative coding mechanisms. Our data suggest that these
             neural ensembles may rely on a distributed coding scheme to
             represent the location of single whisker stimuli. Within
             this scheme, the temporal modulation of neural ensemble
             firing rate, as well as the temporal interactions between
             neurons, contributed significantly to the representation of
             stimulus location. The relative contribution of these
             temporal codes increased with the number of whiskers that
             the ensembles must discriminate among. Our results also
             indicated that the SI cortex and the VPM nucleus may
             function as a single entity to encode stimulus location.
             Overall, our data suggest that the representation of
             somatosensory features in the rat trigeminal system may
             arise from the interactions of neurons within and between
             the SI cortex and VPM nucleus. Furthermore, multiple coding
             strategies may be used simultaneously to represent the
             location of tactile stimuli.},
   Key = {fds114949}
}

@article{fds114970,
   Author = {DB Katz and MA Nicolelis and SA Simon},
   Title = {Nutrient tasting and signaling mechanisms in the gut. IV.
             There is more to taste than meets the tongue.},
   Journal = {American journal of physiology. Gastrointestinal and liver
             physiology, UNITED STATES},
   Volume = {278},
   Number = {1},
   Pages = {G6-9},
   Year = {2000},
   Month = {January},
   ISSN = {0193-1857},
   Keywords = {Animals • Behavior • Central Nervous System •
             Epithelium • Humans • Intestines • Nutrition
             Physiology* • Signal Transduction* • Taste •
             Tongue • physiology • physiology*},
   Abstract = {The tongue is the principal organ that provides sensory
             information about the quality and quantity of chemicals in
             food. Other information about the temperature and texture of
             food is also transduced on the tongue, via extragemmal
             receptors that form branches of the trigeminal,
             glossopharyngeal, and vagal nerves. These systems, together
             with information from the gastrointestinal (GI) system,
             interact to determine whether or not food is palatable. In
             this themes article, emphasis is placed on the integrative
             aspects of gustatory processing by showing the convergence
             of gustatory information with somatosensory, nociceptive,
             and visceral information (from the GI system) on the tongue
             and in the brain. Our thesis is that gustation should be
             thought of as an integral part of a distributed, interacting
             multimodal system in which information from other systems,
             including the GI system, can modulate the taste of
             food.},
   Key = {fds114970}
}

@article{fds114879,
   Title = {Ghazanfar AA, Stambaugh CR, Nicolelis MAL (2000) Encoding of
             tactile stimulus location by somatosensory thalamocortical
             ensembles. J Neurosci 20: 3761-3775.},
   Year = {2000},
   Key = {fds114879}
}

@article{fds114928,
   Title = {Faneslow EE, Reid AP, Nicolelis MAL (2000)  Reduction of
             pentylenetetrazole-induced seizure activity in awake rats by
             seizure-triggered trigeminal nerve stimulation. J Neurosci
             20: 8160-8168.},
   Year = {2000},
   Key = {fds114928}
}

@article{fds114929,
   Title = {Ghazanfar AA, Nicolelis MAL (2000) The space-time continuum
             in mammalian sensory pathways. In: Time and the Brain (R.
             Miller, ed.) Harwood Academic Publishers, Sidney, Australia,
             pp. 97-130.},
   Year = {2000},
   Key = {fds114929}
}

@article{fds114930,
   Title = {Katz DB, Nicolelis MAL, Simon SA (2000) There is more to
             taste than meets the tongue. Am J Physiol 278:
             G6-G9.},
   Year = {2000},
   Key = {fds114930}
}

@article{fds114931,
   Title = {Laubach M, Wessberg J, Nicolelis MAL (2000) Cortical
             ensemble activity increasingly predicts behavioral outcomes
             during learning of a motor task. Nature 405:
             567-571.},
   Year = {2000},
   Key = {fds114931}
}

@article{fds114932,
   Title = {Wessberg J,  Stambaugh CR,  Kralik JD,  Beck PD,
              Laubach M, Chapin JK,  Kim J,  Biggs SJ, Srinivasan MA,
             Nicolelis MAL (2000) Real-time prediction of hand trajectory
             by ensembles of cortical neurons in primates. Nature 408:
             361-365.},
   Year = {2000},
   Key = {fds114932}
}

@article{fds114943,
   Title = {Krupa DJ, Nicolelis MAL (2000) Network level properties of
             short-term plasticity in the somatosensory system. Prog
             Brain Res 128:161-172.},
   Year = {2000},
   Key = {fds114943}
}

@article{fds114957,
   Author = {DJ Krupa and MA Nicolelis},
   Title = {Network level properties of short-term plasticity in the
             somatosensory system.},
   Journal = {Progress in brain research, NETHERLANDS},
   Volume = {128},
   Pages = {161-72},
   Year = {2000},
   ISSN = {0079-6123},
   Keywords = {Animals • Denervation • Efferent Pathways •
             Feedback • Mechanoreceptors • Nerve Net •
             Nerve Regeneration • Neuronal Plasticity •
             Neurons, Afferent • Rats • Recovery of Function
             • Somatosensory Cortex • Space Perception •
             Time Factors • Trigeminal Nuclei • Ventral
             Thalamic Nuclei • Vibrissae • adverse effects
             • cytology • innervation • physiology •
             physiology*},
   Key = {fds114957}
}

@article{fds114902,
   Author = {JK Chapin and MA Nicolelis},
   Title = {Principal component analysis of neuronal ensemble activity
             reveals multidimensional somatosensory representations.},
   Journal = {Journal of neuroscience methods, NETHERLANDS},
   Volume = {94},
   Number = {1},
   Pages = {121-40},
   Year = {1999},
   Month = {December},
   ISSN = {0165-0270},
   Keywords = {Animals • Behavior, Animal • Neurons •
             Physical Stimulation • Rats • Rats, Long-Evans
             • Sensation • Statistics • Thalamus •
             Vibrissae • cytology • physiology •
             physiology*},
   Abstract = {Principal components analysis (PCA) was used to define the
             linearly dependent factors underlying sensory information
             processing in the vibrissal sensory area of the ventral
             posterior medial (VPM) thalamus in eight awake rats.
             Ensembles of up to 23 single neurons were simultaneously
             recorded in this area, either during long periods of
             spontaneous behavior (including exploratory whisking) or
             controlled deflection of single whiskers. PCA rotated the
             matrices of correlation between these n neurons into a
             series of n uncorrelated principal components (PCs), each
             successive PC oriented to explain a maximum of the remaining
             variance. The fact that this transformation is
             mathematically equivalent to the general Hebb algorithm in
             linear neural networks provided a major rationale for
             performing it here on data from real neuronal ensembles.
             Typically, most information correlated across neurons in the
             ensemble was concentrated within the first 3-8 PCs. Each of
             these was found to encode distinct, and highly significant
             informational factors. These factor encodings were assessed
             in two ways, each making use of fact that each PC consisted
             of a matrix of weightings, one for each neuron. First, the
             neurons were rank ordered according to the locations of the
             central whiskers in their receptive fields, allowing their
             weightings within different PCs to be viewed as a function
             of their position within the whisker representation in the
             VPM. Each PC was found to define a distinctly different
             topographic mapping of the cutaneous surface. Next, the PCs
             were used to weight-sum the neurons' simultaneous activities
             to create population vectors (PVs). Each PV consisted of a
             single continuous time series which represented the
             expression of each PC's 'magnitude' in response to
             stimulation of different whiskers, or during behavioral
             events such as active tactile whisking. These showed that
             each PC functioned as a feature detector capable of
             selectively predicting significant sensory or behavioral
             events with far greater statistical reliability than could
             any single neuron. The encoding characteristics of the first
             few PCs were remarkably consistent across all animals and
             experimental conditions, including both spontaneous
             exploration and direct sensory stimulation: PC1 positively
             weighted all neurons, mainly according to their covariance.
             Thus it encoded global magnitude of ensemble activity,
             caused either by combined sensory inputs or intrinsic
             network activity, such as spontaneous oscillations. PC2
             encoded spatial position contrast, generally in the
             rostrocaudal dimension, across the whole cutaneous surface
             represented by the ensemble. PC3 more selectively encoded
             contrast in an orthogonal (usually dorsoventral) dimension.
             A variable number of higher numbered PCs encoded local
             position contrast within one or more smaller regions of the
             cutaneous surface. The remaining PCs typically explained
             residual 'noise', i.e. the uncorrelated variance that
             constituted a major part of each neuron's activity.
             Differences in behavioral or sensory experience produced
             relatively little in the PC weighting patterns but often
             changed the variance they explained (eigenvalues) enough to
             alter their ordering. These results argue that PCA provides
             a powerful set of tools for selectively measuring neural
             ensemble activity within multiple functionally significant
             'dimensions' of information processing. As such, it
             redefines the 'neuron' as an entity which contributes
             portions of its variance to processing not one, but several
             tasks.},
   Key = {fds114902}
}

@article{fds114971,
   Author = {M Laubach and M Shuler and MA Nicolelis},
   Title = {Independent component analyses for quantifying neuronal
             ensemble interactions.},
   Journal = {Journal of neuroscience methods, NETHERLANDS},
   Volume = {94},
   Number = {1},
   Pages = {141-54},
   Year = {1999},
   Month = {December},
   ISSN = {0165-0270},
   Keywords = {Action Potentials • Animals • Behavior, Animal
             • Cell Communication • Computer Simulation •
             Electrophysiology • Male • Models, Neurological*
             • Motor Cortex • Neural Networks (Computer) •
             Neurons • Rats • Reaction Time • Statistics
             • cytology • physiology •
             physiology*},
   Abstract = {The goal of this study was to compare how multivariate
             statistical methods for dimension reduction account for
             correlations between simultaneously recorded neurons. Here,
             we describe applications of principal component analysis
             (PCA) and independent component analysis (ICA) (Cardoso J-F,
             Souloumiac A. IEE-Proc F 1993;140:362-70; Hyvarinen A, Oja
             E. Neural Comput 1997;9:1483-92; Lee TW, Girolami M,
             Sejnowski TJ. Neural Comp 1999;11:417-41) to neuronal
             ensemble data. Simulated ensembles of neurons were used to
             compare how well the methods above could account for
             correlated neuronal firing. The simulations showed that
             'population vectors' defined by PCA were broadly distributed
             over the neuronal ensembles; thus, PCA was unable to
             identify independent groupings of neurons that shared common
             sources of input. By contrast, the ICA methods were all able
             to identify groupings of neurons that emerged due to
             correlated firing. This result suggests that correlated
             neuronal firing is reflected in higher-order correlations
             between neurons and not simply in the neurons' covariance.
             To assess the significance of these methods for real
             neuronal ensembles, we analyzed data from populations of
             neurons recorded in the motor cortex of rats trained to
             perform a reaction-time task. Scores for PCA and ICA were
             reconstructed on a bin-by-bin basis for single trials. These
             data were then used to train an artificial neural network to
             discriminate between single trials with either short or long
             reaction-times. Classifications based on scores from the
             ICA-based methods were significantly better than those based
             on PCA. For example, scores for components defined with an
             ICA-based method, extended ICA (Lee et al., 1999),
             classified more trials correctly (80.58+/-1.25%) than PCA
             (73.14+/-0.84%) for an ensemble of 26 neurons recorded in
             the motor cortex (ANOVA: P < 0.005). This result suggests
             that behaviorally relevant information is represented in
             correlated neuronal firing and can be best detected when
             higher-order correlations between neurons are taken into
             account.},
   Key = {fds114971}
}

@article{fds114897,
   Author = {EE Fanselow and MA Nicolelis},
   Title = {Behavioral modulation of tactile responses in the rat
             somatosensory system.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, UNITED STATES},
   Volume = {19},
   Number = {17},
   Pages = {7603-16},
   Year = {1999},
   Month = {September},
   ISSN = {1529-2401},
   Keywords = {Animals • Brain Mapping • Electric Stimulation
             • Female • Motor Activity • Movement •
             Neurons • Ophthalmic Nerve • Physical Stimulation
             • Rats • Rats, Long-Evans • Reaction Time
             • Somatosensory Cortex • Thalamic Nuclei •
             Touch • Vibrissae • innervation • physiology
             • physiology*},
   Abstract = {We investigated the influence of four different behavioral
             states on tactile responses recorded simultaneously via
             arrays of microwires chronically implanted in the vibrissal
             representations of the rat ventral posterior medial nucleus
             (VPM) of the thalamus and the primary somatosensory cortex
             (SI). Brief (100 microsecond) electrical stimuli delivered
             via a cuff electrode to the infraorbital nerve yielded
             robust sensory responses in VPM and SI during states of
             quiet immobility. However, significant reductions in tactile
             response magnitude and latency were observed in VPM and SI
             during large-amplitude, exploratory movements of the
             whiskers (at approximately 4-6 Hz). During small-amplitude,
             7-12 Hz whisker-twitching movements, a significant reduction
             in SI response magnitude and an increase in VPM and SI
             response latencies were observed as well. When pairs of
             stimuli with interstimulus intervals <100 msec were
             delivered during quiet immobility, the response to the
             second stimulus in the pair was reduced and occurred at a
             longer latency compared with the response to the first
             stimulus. In contrast, during large-amplitude whisker
             movements and general motor activity, paired stimuli yielded
             similar sensory responses at interstimulus intervals >25
             msec. These response patterns were correlated with the
             amount and duration of postexcitatory firing suppression
             observed in VPM and SI during each of these behaviors. On
             the basis of these results, we propose that sensory
             responses are dynamically modulated during active tactile
             exploration to optimize detection of different types of
             stimuli. During quiet immobility, the somatosensory system
             seems to be optimally tuned to detect the presence of single
             stimuli. In contrast, during whisker movements and other
             exploratory behaviors, the system is primed to detect the
             occurrence of rapid sequences of tactile stimuli, which are
             likely to be generated by multiple whisker contacts with
             objects during exploratory activity.},
   Key = {fds114897}
}

@article{fds114905,
   Author = {DB Katz and SA Simon and A Moody and MA Nicolelis},
   Title = {Simultaneous reorganization in thalamocortical ensembles
             evolves over several hours after perioral capsaicin
             injections.},
   Journal = {Journal of neurophysiology, UNITED STATES},
   Volume = {82},
   Number = {2},
   Pages = {963-77},
   Year = {1999},
   Month = {August},
   ISSN = {0022-3077},
   Keywords = {Analysis of Variance • Animals • Capsaicin •
             Female • Injections • Injections, Subcutaneous
             • Multivariate Analysis • Neurons • Rats
             • Rats, Long-Evans • Somatosensory Cortex •
             Thalamus • Vibrissae • drug effects* •
             innervation • pharmacology*},
   Abstract = {Reorganization of the somatosensory system was quantified by
             simultaneously recording from single-unit neural ensembles
             in the whisker regions of the ventral posterior medial (VPM)
             nucleus of the thalamus and the primary somatosensory (SI)
             cortex in anesthetized rats before, during, and after
             injecting capsaicin under the skin of the lip. Capsaicin, a
             compound that excites and then inactivates a subset of
             peripheral C and Adelta fibers, triggered increases in
             spontaneous firing of thalamocortical neurons (10-15 min
             after injection), as well as rapid reorganization of the
             whisker representations in both the VPM and SI. During the
             first hour after capsaicin injection, 57% of the 139
             recorded neurons either gained or lost at least one whisker
             response in their receptive fields (RFs). Capsaicin-related
             changes continued to emerge for >/=6 h after the injection:
             Fifty percent of the single-neuron RFs changed between 1-2
             and 5-6 h after capsaicin injection. Most (79%) of these
             late changes represented neural responses that had remained
             unchanged in the first postcapsaicin mapping; just under 20%
             of these late changes appeared in neurons that had
             previously shown no plasticity of response. The majority of
             the changes (55% immediately after injection, 66% 6 h later)
             involved "unmasking" of new tactile responses. RF change
             rates were comparable in SI and VPM (57-49%). Population
             analysis indicated that the reorganization was associated
             with a lessening of the "spatial coupling" between cortical
             neurons-a significant reduction in firing covariance that
             could be related to distances between neurons. This general
             loss of spatial coupling, in conjunction with increases in
             spontaneous firing, may create a situation that is favorable
             for the induction of synaptic plasticity. Our results
             indicate that the selective inactivation of a peripheral
             nociceptor subpopulation can induce rapid and long-evolving
             (>/=6 h) shifts in the balance of inhibition and excitation
             in the somatosensory system. The time course of these
             processes suggest that thalamic and cortical plasticity is
             not a linear reflection of spinal and brainstem changes that
             occur following the application of capsaicin.},
   Key = {fds114905}
}

@article{fds114946,
   Author = {DJ Krupa and AA Ghazanfar and MA Nicolelis},
   Title = {Immediate thalamic sensory plasticity depends on
             corticothalamic feedback.},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America, UNITED STATES},
   Volume = {96},
   Number = {14},
   Pages = {8200-5},
   Year = {1999},
   Month = {July},
   ISSN = {0027-8424},
   Keywords = {Animals • Brain Mapping* • Electric Stimulation
             • Female • Infusions, Parenteral • Lidocaine
             • Muscimol • Nerve Fibers • Neural Pathways
             • Neuronal Plasticity* • Neurons • Rats
             • Rats, Long-Evans • Somatosensory Cortex •
             Thalamus • Time Factors • Trigeminal Nerve •
             Vibrissae • administration & dosage • drug effects
             • innervation • pharmacology • physiology
             • physiology*},
   Abstract = {Multiple neuron ensemble recordings were obtained
             simultaneously from both the primary somatosensory (SI)
             cortex and the ventroposterior medial thalamus (VPM) before
             and during the combined administration of reversible
             inactivation of the SI cortex and a reversible subcutaneous
             block of peripheral trigeminal nerve fibers. This procedure
             was performed to quantify the contribution of descending
             corticofugal projections on (i) the normal organization of
             thalamic somatosensory receptive fields and (ii) the
             thalamic somatosensory plastic reorganization that
             immediately follows a peripheral deafferentation. Reversible
             inactivation of SI cortex resulted in immediate changes in
             receptive field properties throughout the VPM. Cortical
             inactivation also significantly reduced but did not
             completely eliminate the occurrence of VPM receptive field
             reorganization resulting from the reversible peripheral
             deafferentation. This result suggests that the thalamic
             plasticity that is seen immediately after a peripheral
             deafferentation is dependent upon both descending
             corticofugal projections and ascending trigeminothalamic
             projections.},
   Key = {fds114946}
}

@article{fds114976,
   Author = {JK Chapin and KA Moxon and RS Markowitz and MA Nicolelis},
   Title = {Real-time control of a robot arm using simultaneously
             recorded neurons in the motor cortex.},
   Journal = {Nature neuroscience, UNITED STATES},
   Volume = {2},
   Number = {7},
   Pages = {664-70},
   Year = {1999},
   Month = {July},
   ISSN = {1097-6256},
   Keywords = {Animals • Arm* • Cerebral Cortex • Computer
             Systems • Forelimb • Motor Activity* • Motor
             Cortex • Movement • Multivariate Analysis •
             Nerve Net • Neurons • Rats • Rats, Long-Evans
             • Robotics* • Thalamus • innervation •
             physiology • physiology*},
   Abstract = {To determine whether simultaneously recorded motor cortex
             neurons can be used for real-time device control, rats were
             trained to position a robot arm to obtain water by pressing
             a lever. Mathematical transformations, including neural
             networks, converted multineuron signals into 'neuronal
             population functions' that accurately predicted lever
             trajectory. Next, these functions were electronically
             converted into real-time signals for robot arm control.
             After switching to this 'neurorobotic' mode, 4 of 6 animals
             (those with > 25 task-related neurons) routinely used these
             brain-derived signals to position the robot arm and obtain
             water. With continued training in neurorobotic mode, the
             animals' lever movement diminished or stopped. These results
             suggest a possible means for movement restoration in
             paralysis patients.},
   Key = {fds114976}
}

@article{fds114952,
   Author = {AA Ghazanfar and MA Nicolelis},
   Title = {Spatiotemporal properties of layer V neurons of the rat
             primary somatosensory cortex.},
   Journal = {Cerebral cortex (New York, N.Y. : 1991), UNITED
             STATES},
   Volume = {9},
   Number = {4},
   Pages = {348-61},
   Year = {1999},
   Month = {June},
   ISSN = {1047-3211},
   Keywords = {Animals • Electrodes, Implanted • Excitatory
             Postsynaptic Potentials • Female • Membrane
             Potentials • Microelectrodes • Neurons •
             Physical Stimulation • Rats • Rats, Long-Evans
             • Somatosensory Cortex • Space Perception •
             Time Perception • Vibrissae • anatomy & histology
             • cytology • physiology •
             physiology*},
   Abstract = {Animals in their natural environments actively process
             spatiotemporally complex sensory signals in order to guide
             adaptive behavior. It therefore seems likely that the
             properties of both single neurons and neural ensembles
             should reflect the dynamic nature of such interactions.
             During exploratory behaviors, rats move their whiskers to
             actively discriminate between different tactile features. We
             investigated whether this dynamic sensory processing was
             reflected in the spatial and temporal properties of neurons
             in layer V of the 'whisker area' in the rat primary
             somatosensory cortex. We found that the majority of layer V
             neurons had large (8.5+/-4.9 whiskers) spatiotemporal
             receptive fields (i.e. individual cells responded best to
             different whiskers as a function of post-stimulus time), and
             that the excitatory responses of surround whiskers formed a
             spatial gradient of excitation that seemed to reflect the
             greater use of the ventral and caudal whiskers during
             natural behaviors. Analyses of ensembles of layer V neurons
             revealed that single-whisker stimuli activated a portion of
             layer V that extends well beyond a single cortical column
             (average of 5.6 barrel cortical columns). Based on these
             results, we conclude that the rat primary somatosensory
             cortex does not appear to operate as a static decoder of
             tactile information. On the contrary, our data suggest that
             tactile processing in rats is likely to involve the on-going
             interactions between populations of broadly tuned neurons in
             the thalamocortical pathway.},
   Key = {fds114952}
}

@article{fds114877,
   Title = {Fanselow E, Nicolelis MAL (1999) Behavioral modulation of
             tactile responses in the rat somatosensory system. J
             Neurosci 19: 7603-7616.},
   Year = {1999},
   Key = {fds114877}
}

@article{fds114878,
   Title = {Laubach M, Shuler M, Nicolelis MAL (1999) Independent
             component analyses for quantifying neuronal ensemble
             interactions. J Neurosci Meth 94: 141-154.},
   Year = {1999},
   Key = {fds114878}
}

@article{fds114915,
   Title = {Krupa DJ, Ghazanfar AA, Nicolelis MAL (1999) Immediate
             thalamic sensory plasticity depends on corticothalamic
             feedback. Proc Natl Acad Sci USA 96: 8200-8205.},
   Year = {1999},
   Key = {fds114915}
}

@article{fds114924,
   Title = {Chapin JK, Nicolelis MAL (1999) Principal component analysis
             of neuronal ensemble activity reveals multidimensional
             sensory representations. J Neurosci Meth 94:
             121-140.},
   Year = {1999},
   Key = {fds114924}
}

@article{fds114925,
   Title = {Chapin JK,  Markowitz RS,  Moxon KA, Nicolelis MAL (1999)
             Real-time control of a robot arm using simultaneously
             recorded neurons in the motor cortex. Nature Neurosci 2:
             664-670.},
   Year = {1999},
   Key = {fds114925}
}

@article{fds114926,
   Title = {Ghazanfar AA, Nicolelis MAL (1999) Spatiotemporal properties
             of layer V neurons in the rat primary somatosensory cortex.
             Cerebral Cortex 9: 348-361.},
   Year = {1999},
   Key = {fds114926}
}

@article{fds114927,
   Title = {Katz DB, Simon SA, Nicolelis MAL  (1999) Simultaneous
             reorganization in thalamcortical ensembles evolves over
             several hours after perioral capsaicin injections. J
             Neurophysiol 82: 963-977.},
   Year = {1999},
   Key = {fds114927}
}

@article{fds114977,
   Author = {MA Nicolelis and AA Ghazanfar and CR Stambaugh and LM Oliveira and M
             Laubach, JK Chapin and RJ Nelson and JH Kaas},
   Title = {Simultaneous encoding of tactile information by three
             primate cortical areas.},
   Journal = {Nature neuroscience, UNITED STATES},
   Volume = {1},
   Number = {7},
   Pages = {621-30},
   Year = {1998},
   Month = {November},
   ISSN = {1097-6256},
   Keywords = {Action Potentials • Animals • Aotidae •
             Electrophysiology • Hand • Neurons • Physical
             Stimulation • Reaction Time • Somatosensory Cortex
             • Touch • cytology • physiology •
             physiology*},
   Abstract = {We used simultaneous multi-site neural ensemble recordings
             to investigate the representation of tactile information in
             three areas of the primate somatosensory cortex (areas 3b,
             SII and 2). Small neural ensembles (30-40 neurons) of
             broadly tuned somatosensory neurons were able to identify
             correctly the location of a single tactile stimulus on a
             single trial, almost simultaneously. Furthermore, each of
             these cortical areas could use different combinations of
             encoding strategies, such as mean firing rate (areas 3b and
             2) or temporal patterns of ensemble firing (area SII), to
             represent the location of a tactile stimulus. Based on these
             results, we propose that ensembles of broadly tuned neurons,
             located in three distinct areas of the primate somatosensory
             cortex, obtain information about the location of a tactile
             stimulus almost concurrently.},
   Key = {fds114977}
}

@article{fds114870,
   Title = {Nicolelis MAL, Ghazanfar AA, Oliveira LMO, Chapin JK, Nelson
             R, Kaas JH (1998) Simultaneous encoding of tactile
             information by three primate cortical areas. Nature Neurosci
             1: 621-630.},
   Year = {1998},
   Key = {fds114870}
}

@article{fds114944,
   Author = {RC Lin and MA Nicolelis and JK Chapin},
   Title = {Topographic and laminar organizations of the incertocortical
             pathway in rats.},
   Journal = {Neuroscience, UNITED STATES},
   Volume = {81},
   Number = {3},
   Pages = {641-51},
   Year = {1997},
   Month = {December},
   ISSN = {0306-4522},
   Keywords = {Anatomy, Artistic • Animals • Brain Mapping •
             Cerebral Cortex • Fluorescent Dyes • Medical
             Illustration • Neural Pathways • Rats • Rats,
             Inbred Strains • Thalamic Nuclei • anatomy &
             histology • physiology • physiology*},
   Abstract = {The topographic and laminar organizations of the projection
             system from the zona incerta to the neocortex were studied
             by using both retrograde and anterograde methods in the rat.
             Injections of retrograde fluorescent tracers into different
             cortical areas revealed that the incertocortical projection
             neurons have a rough topographic organization with respect
             to their cortical targets. Furthermore, the incertocortical
             projecting neurons were found mainly in the dorsal and
             rostral subdivisions of the zona incerta, and none were
             found in the ventral subdivision. In cases which included
             three different fluorescent tracers injected into the
             frontal, the parietal and the occipital cortices,
             retrogradely single-labelled cells were found intermingled
             within the dorsal zona incerta. Very few double-labelled
             cells were noted, and triple-labelled cells were absent.
             Injections of anterograde tracers into the dorsal zona
             incerta demonstrate that labelled fibres traverse the
             striatum and terminate most densely in the outer half of
             layer I of the neocortex. The density of incertocortical
             terminals was greatest in the somatosensory cortex, while
             the innervation of visual cortical areas was sparse. Very
             fine and sparse bouton-like swellings of labelled
             incertocortical fibres were found running parallel along the
             pial surface. Since it has recently been shown that the
             incertocortical projections derive from GABAergic neurons,
             the present results suggest that the diffuse and roughly
             topographic projection from the zona incerta to the cerebral
             cortex may play an inhibitory role in widespread areas of
             cerebral cortex. This inhibitory action may preferentially
             target the distal dendrites of cortical neurons, since the
             majority of incertocortical terminals were found in the
             outer part of layer I of the neocortex.},
   Key = {fds114944}
}

@article{fds114907,
   Author = {MA Nicolelis and RC Lin and JK Chapin},
   Title = {Neonatal whisker removal reduces the discrimination of
             tactile stimuli by thalamic ensembles in adult
             rats.},
   Journal = {Journal of neurophysiology, UNITED STATES},
   Volume = {78},
   Number = {3},
   Pages = {1691-706},
   Year = {1997},
   Month = {September},
   ISSN = {0022-3077},
   Keywords = {Animals • Animals, Newborn • Discrimination
             (Psychology) • Neuronal Plasticity • Neurons,
             Afferent • Rats • Thalamus • Touch •
             Vibrissae • growth & development* • physiology
             • physiology*},
   Abstract = {Simultaneous recordings of up to 48 single neurons per
             animal were used to characterize the long-term functional
             effects of sensory plastic modifications in the ventral
             posterior medial nucleus (VPM) of the thalamus following
             unilateral removal of facial whiskers in newborn rats. One
             year after this neonatal whisker deprivation, neurons in the
             contralateral VPM responded to cutaneous stimulation of the
             face at much longer minimal latencies (15.2 +/- 8.2 ms, mean
             +/- SD) than did normal cells (8.8 +/- 5.3 ms) in the same
             subregion of the VPM. In 69% of these neurons, the initial
             sensory responses to stimulus offset were followed for up to
             700 ms by reverberant trains of bursting discharge,
             alternating in 100-ms cycles with inhibition. Receptive
             fields in the deafferented VPM were also atypical in that
             they extended over the entire face, shoulder, forepaw,
             hindpaw, and even ipsilateral whiskers. Discriminant
             analysis (DA) was then used to statistically evaluate how
             this abnormal receptive field organization might affect the
             ability of thalamocortical neuronal populations to
             "discriminate" somatosensory stimulus location. To
             standardize this analysis, three stimulus targets ("groups")
             were chosen in all animals such that they triangulated the
             central region of the "receptive field" of the recorded
             multineuronal ensemble. In the normal animals these stimulus
             targets were whiskers or perioral hairs; in the deprived
             animals the targets typically included hairy skin of the
             body as well as face. The measured variables consisted of
             each neuron's spiking response to each stimulus
             differentiated into three poststimulus response epochs
             (0-15, 15-30, and 30-45 ms). DA quantified the statistical
             contribution of each of these variables to its overall
             discrimination between the three stimulus sites. In the
             normal animals, the stimulus locations were correctly
             classified in 88.2 +/- 3.7% of trials on the basis of the
             spatiotemporal patterns of ensemble activity derived from up
             to 18 single neurons. In the deprived animals, the stimulus
             locations were much less consistently discriminated (reduced
             to 73.5 +/- 12.6%; difference from controls significant at P
             < 0.01) despite the fact that much more widely spaced
             stimulus targets were used and even when up to 20 neurons
             were included in the ensemble. Overall, these results
             suggest that neonatal damage to peripheral sense organs may
             produce marked changes in the physiology of individual
             neurons in the somatosensory thalamus. Moreover, the present
             demonstration that these changes can profoundly alter
             sensory discrimination at the level of neural populations in
             the thalamus provides important evidence that the well-known
             perceptual effects of chronic peripheral deprivation may be
             partially attributable to plastic reorganization at
             subcortical levels.},
   Key = {fds114907}
}

@article{fds114893,
   Author = {BM Faggin and KT Nguyen and MA Nicolelis},
   Title = {Immediate and simultaneous sensory reorganization at
             cortical and subcortical levels of the somatosensory
             system.},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America, UNITED STATES},
   Volume = {94},
   Number = {17},
   Pages = {9428-33},
   Year = {1997},
   Month = {August},
   ISSN = {0027-8424},
   Keywords = {Animals • Neuronal Plasticity* • Psychomotor
             Performance • Rats • Somatosensory Cortex •
             physiology*},
   Abstract = {The occurrence of cortical plasticity during adulthood has
             been demonstrated using many experimental paradigms. Whether
             this phenomenon is generated exclusively by changes in
             intrinsic cortical circuitry, or whether it involves
             concomitant cortical and subcortical reorganization, remains
             controversial. Here, we addressed this issue by
             simultaneously recording the extracellular activity of up to
             135 neurons in the primary somatosensory cortex, ventral
             posterior medial nucleus of the thalamus, and trigeminal
             brainstem complex of adult rats, before and after a
             reversible sensory deactivation was produced by subcutaneous
             injections of lidocaine. Following the onset of the
             deactivation, immediate and simultaneous sensory
             reorganization was observed at all levels of the
             somatosensory system. No statistical difference was observed
             when the overall spatial extent of the cortical (9.1 +/- 1.2
             whiskers, mean +/- SE) and the thalamic (6.1 +/- 1.6
             whiskers) reorganization was compared. Likewise, no
             significant difference was found in the percentage of
             cortical (71.1 +/- 5.2%) and thalamic (66. 4 +/- 10.7%)
             neurons exhibiting unmasked sensory responses. Although
             unmasked cortical responses occurred at significantly higher
             latencies (19.6 +/- 0.3 ms, mean +/- SE) than thalamic
             responses (13. 1 +/- 0.6 ms), variations in neuronal latency
             induced by the sensory deafferentation occurred as often in
             the thalamus as in the cortex. These data clearly
             demonstrate that peripheral sensory deafferentation triggers
             a system-wide reorganization, and strongly suggest that the
             spatiotemporal attributes of cortical plasticity are
             paralleled by subcortical reorganization.},
   Key = {fds114893}
}

@article{fds114909,
   Author = {MA Nicolelis and EE Fanselow and AA Ghazanfar},
   Title = {Hebb's dream: the resurgence of cell assemblies.},
   Journal = {Neuron, UNITED STATES},
   Volume = {19},
   Number = {2},
   Pages = {219-21},
   Year = {1997},
   Month = {August},
   ISSN = {0896-6273},
   Keywords = {Animals • Hippocampus • Neuronal Plasticity •
             Neurons, Afferent • Presynaptic Terminals •
             physiology*},
   Key = {fds114909}
}

@article{fds114973,
   Author = {AA Ghazanfar and MA Nicolelis},
   Title = {Nonlinear processing of tactile information in the
             thalamocortical loop.},
   Journal = {Journal of neurophysiology, UNITED STATES},
   Volume = {78},
   Number = {1},
   Pages = {506-10},
   Year = {1997},
   Month = {July},
   ISSN = {0022-3077},
   Keywords = {Animals • Cerebral Cortex • Mental Processes
             • Neurons • Nonlinear Dynamics • Rats •
             Thalamus • Touch • Vibrissae • cytology
             • physiology*},
   Abstract = {Rats explore tangible objects in a manner such that, at any
             given moment in time, multiple facial whiskers
             simultaneously contact the surface of the object. Although
             both thalamic and cortical neurons responsible for
             processing such tactile information have large, multiwhisker
             receptive fields, it remains unclear what kinds of
             computations can be carried out by these neuronal
             populations when behaviorally relevant multiwhisker stimuli
             are used. By simultaneously recording the activity of up to
             78 cortical and thalamic neurons per animal, we observed
             that the magnitude of sensory responses and the spatial
             spread of ensemble activity increased in a nonlinear fashion
             according to the extent and spatial orientation of the
             multiwhisker stimuli. Supralinear responses were seen more
             frequently with vertically than with horizontally oriented
             stimuli. These data suggest that thalamocortical
             interactions in the rat somatosensory system can generate
             complex spatial transformations of multiwhisker stimuli that
             go beyond the classic inhibitory interactions previously
             observed.},
   Key = {fds114973}
}

@article{fds114974,
   Author = {MA Nicolelis and AA Ghazanfar and BM Faggin and S Votaw and LM
             Oliveira},
   Title = {Reconstructing the engram: simultaneous, multisite, many
             single neuron recordings.},
   Journal = {Neuron, UNITED STATES},
   Volume = {18},
   Number = {4},
   Pages = {529-37},
   Year = {1997},
   Month = {April},
   ISSN = {0896-6273},
   Keywords = {Animals • Brain • Cell Communication •
             Electrophysiology • Equipment Design •
             Extracellular Space • Neurons • Rats •
             cytology • instrumentation • methods* •
             physiology • physiology*},
   Abstract = {Little is known about the physiological principles that
             govern large-scale neuronal interactions in the mammalian
             brain. Here, we describe an electrophysiological paradigm
             capable of simultaneously recording the extracellular
             activity of large populations of single neurons, distributed
             across multiple cortical and subcortical structures in
             behaving and anesthetized animals. Up to 100 neurons were
             simultaneously recorded after 48 microwires were implanted
             in the brain stem, thalamus, and somatosensory cortex of
             rats. Overall, 86% of the implanted microwires yielded
             single neurons, and an average of 2.3 neurons were
             discriminated per microwire. Our population recordings
             remained stable for weeks, demonstrating that this method
             can be employed to investigate the dynamic and distributed
             neuronal ensemble interactions that underlie processes such
             as sensory perception, motor control, and sensorimotor
             learning in freely behaving animals.},
   Key = {fds114974}
}

@article{fds114874,
   Title = {Ghazanfar AA,  Nicolelis MAL (1997)  Non-linear processing
             of tactile information in the thalamocortical loop.  J
             Neurophysiol 78:506-510.},
   Year = {1997},
   Key = {fds114874}
}

@article{fds114875,
   Title = {Nicolelis MAL, Fanselow E, Ghazanfar AA (1997) Hebb's dream:
              The resurgence of cell assemblies.  Neuron
             19(2):219-221.},
   Year = {1997},
   Key = {fds114875}
}

@article{fds114876,
   Title = {Nicolelis MAL, Lin RCS, Chapin JK (1997)  Neonatal whisker
             removal reduces the discrimination of tactile stimuli by
             thalamic ensembles in adult rats.  J Neurophysiol 78:
             1691-1706.},
   Year = {1997},
   Key = {fds114876}
}

@article{fds114920,
   Title = {Faggin B, Ngyuen KT, Nicolelis MAL (1997)  Immediate and
             simultaneous plastic reorganization at multiple levels of
             the somatosensory system.  Proc Natl Acad Soc USA
             94:9428-9433.},
   Year = {1997},
   Key = {fds114920}
}

@article{fds114921,
   Title = {Nicolelis MAL (1997)  Dynamic and distributed somatosensory
             organization as the substrate for cortical and subcortical
             plasticity. Seminars in Neurosciences 9:24-33.},
   Year = {1997},
   Key = {fds114921}
}

@article{fds114922,
   Title = {Nicolelis MAL, Ghazanfar AA, Faggin B, Votaw S, Oliveira LMO
             (1997) Reconstructing the engram:  simultaneous, multiple
             site, many single neuron recordings. Neuron
             18:529-537},
   Year = {1997},
   Key = {fds114922}
}

@article{fds114923,
   Title = {Lin CS, Nicolelis MAL, Chapin JK (1997) Topography and
             laminar organization of the incertocortical pathway in rats.
              Neuroscience 81: 641-651.},
   Year = {1997},
   Key = {fds114923}
}

@article{fds114954,
   Author = {MA Nicolelis and LM De Oliveira and RC Lin and JK
             Chapin},
   Title = {Active tactile exploration influences the functional
             maturation of the somatosensory system.},
   Journal = {Journal of neurophysiology, UNITED STATES},
   Volume = {75},
   Number = {5},
   Pages = {2192-6},
   Year = {1996},
   Month = {May},
   ISSN = {0022-3077},
   Keywords = {Animals • Animals, Newborn • Denervation •
             Exploratory Behavior • Facial Nerve • Neurons,
             Afferent • Rats • Somatosensory Cortex •
             Thalamus • Touch • Vibrissae • growth &
             development • growth & development* • physiology
             • physiology*},
   Abstract = {1. The hypothesis that active exploration of objects is
             required for the functional maturation of neuronal circuits
             subserving tactile perception was tested by subjecting 8- to
             11-day old rats to a complete unilateral section of the
             facial nerve. This procedure selectively abolished whisker
             protraction movements without affecting the sensory
             innervation of the facial vibrissae, the tactile organs used
             by rats to discriminate object texture and shape. 2. Six to
             14 mo after the facial nerve section, simultaneous
             recordings of neuronal ensembles located in the ventral
             posterior medial nucleus (VPM) of the thalamus revealed a
             marked reduction in receptive field (RF) size (in terms of
             number of whiskers), and the formation of abnormal RF
             surrounds, spanning the face and contiguous body regions. In
             addition, the directional organization of VPM RFs,
             represented by caudal to rostral shifts in RF centers over
             30 ms following whisker stimulation, was greatly reduced in
             these animals. 3. These results suggest that neonatal active
             tactile exploration is required to establish normal
             spatiotemporal patterning of neuronal RFs within the
             somatosensory system, and consequently, to develop normal
             tactile perception.},
   Key = {fds114954}
}

@article{fds114903,
   Author = {MA Nicolelis},
   Title = {Beyond maps: a dynamic view of the somatosensory
             system.},
   Journal = {Brazilian journal of medical and biological research =
             Revista brasileira de pesquisas médicas e biológicas /
             Sociedade Brasileira de Biofísica ... [et al.],
             BRAZIL},
   Volume = {29},
   Number = {4},
   Pages = {401-12},
   Year = {1996},
   Month = {April},
   ISSN = {0100-879X},
   Keywords = {Animals • Nerve Net • Rats • Somatosensory
             Cortex • physiology*},
   Abstract = {Current theories on how tactile information is processed by
             the mammalian somatosensory system are based primarily on
             data obtained in studies in which the physiological
             properties of single neurons were characterized, one at a
             time, in behaving or anesthetized animals. Yet, the central
             nervous system relies on the concurrent activation of large
             populations of neurons to process the variety of sensory
             stimuli that contribute to normal tactile perception. The
             recent introduction of electrophysiological methods for
             chronic and simultaneous recordings of the extracellular
             activity of large numbers of single neurons per animal has
             allowed us to investigate, for the first time, how
             populations of neurons, located at multiple processing
             stages of the somatosensory system, interact following
             passive and active tactile stimulation. The rat trigeminal
             somatosensory system was used as a model for this
             investigation. Our results revealed the existence of highly
             dynamic and distributed representations of tactile
             information, not only in the somatosensory cortex, but also
             in the thalamus and even in the brainstem. In these
             structures, we identified broadly tuned neurons with
             multiwhisker receptive fields (RFs). In the thalamus, a
             large percentage of neurons exhibited shifts in the spatial
             domain of their RFs as a function of post-stimulus time.
             During these shifts, the center of the neuron's RF moved
             across the whisker pad from caudal to rostral whiskers, but
             not in the opposite direction, suggesting that these
             spatiotemporal RFs may encode directional information.
             Further studies revealed that somatosensory representations
             were maintained by dynamic interactions between multiple
             convergent afferents, since they could be altered in a
             matter of seconds by reversible sensory deprivations.
             Overall, these results suggest that the rat somatosensory
             system relies on both spatial and temporal interactions
             between populations of cortical and subcortical neurons to
             process multiple attributes of tactile stimuli.},
   Key = {fds114903}
}

@article{fds114953,
   Author = {RC Lin and MA Nicolelis and HL Zhou and JK Chapin},
   Title = {Calbindin-containing non-specific thalamocortical projecting
             neurons in the rat.},
   Journal = {Brain research, NETHERLANDS},
   Volume = {711},
   Number = {1-2},
   Pages = {50-5},
   Year = {1996},
   Month = {March},
   ISSN = {0006-8993},
   Keywords = {Animals • Calcium-Binding Protein, Vitamin D-Dependent
             • Cerebral Cortex • Female •
             Immunohistochemistry • Male • Neural Pathways
             • Rats • Thalamus • anatomy & histology*
             • chemistry*},
   Abstract = {Immunoreactivity for calcium binding proteins was used to
             demonstrate the neurochemical profiles of non-specific
             thalamocortical neurons located in the ventromedial nucleus,
             the centrolateral nucleus, and the nucleus reuniens that
             project to the somatosensory cortex in the adult rat.
             Cortical injections of fluorescent tracers combined with
             immunohistochemistry for calcium binding proteins revealed
             that retrogradely labeled neurons in these three thalamic
             nuclei are immunoreactive for calbindin. The present results
             suggest the presence of a chemically distinct non-specific
             thalamocortical system which terminates in the
             neocortex.},
   Key = {fds114953}
}

@article{fds114872,
   Title = {Chapin JK, Nicolelis MAL (1996) Neural network mechanisms of
             oscillatory brain states: characterization using
             simultaneous multi-single neuron recordings., In: Continuous
             waveform analysis, R.M. Basheiss and D.J. Vicent (eds).
             Electroenceph Clin Neurophysiol, suppl 45, pp
             113-122.},
   Year = {1996},
   Key = {fds114872}
}

@article{fds114873,
   Title = {Lin RCS, Nicolelis MAL, Zhou HL, Chapin JK (1996)
             Calbindin-containing, non-specific thalamocortical
             projecting neurons in the rat. Brain Research 711:
             50-55.},
   Year = {1996},
   Key = {fds114873}
}

@article{fds114918,
   Title = {Nicolelis MAL, Oliveira LMO, Lin RCS, Chapin JK (1996)
             Active tactile exploration influences the functional
             maturation of the somatosensory system. J Neurophysiol 17:
             2192-2196.},
   Year = {1996},
   Key = {fds114918}
}

@article{fds114919,
   Title = {Nicolelis MAL (1996)  Beyond maps: A dynamic view of the
             somatosensory system. Braz J Med Biol Res 29:
             401-412.},
   Year = {1996},
   Key = {fds114919}
}

@article{fds114960,
   Author = {JK Chapin and MA Nicolelis},
   Title = {Neural network mechanisms of oscillatory brain states:
             characterization using simultaneous multi-single neuron
             recordings.},
   Journal = {Electroencephalography and clinical neurophysiology.
             Supplement, IRELAND},
   Volume = {45},
   Pages = {113-22},
   Year = {1996},
   ISSN = {0424-8155},
   Keywords = {Animals • Brain • Electroencephalography •
             Face • Nerve Net • Neurons • Oscillometry
             • Periodicity • Rats • Somatosensory Cortex
             • Thalamus • Vibrissae • cytology •
             physiology • physiology*},
   Key = {fds114960}
}

@article{fds114964,
   Author = {MA Nicolelis and LA Baccala and RC Lin and JK Chapin},
   Title = {Sensorimotor encoding by synchronous neural ensemble
             activity at multiple levels of the somatosensory
             system.},
   Journal = {Science (New York, N.Y.), UNITED STATES},
   Volume = {268},
   Number = {5215},
   Pages = {1353-8},
   Year = {1995},
   Month = {June},
   ISSN = {0036-8075},
   Keywords = {Animals • Brain • Electromyography •
             Electrophysiology • Motor Cortex • Nerve Net
             • Neural Pathways • Neurons, Afferent • Rats
             • Somatosensory Cortex • Thalamic Nuclei •
             Touch • Trigeminal Ganglion • Trigeminal Nuclei
             • Vibrissae • innervation* • physiology
             • physiology*},
   Abstract = {Neural ensemble processing of sensorimotor information
             during behavior was investigated by simultaneously recording
             up to 48 single neurons at multiple relays of the rat
             trigeminal somatosensory system. Cortical, thalamic, and
             brainstem neurons exhibited widespread 7- to 12-hertz
             synchronous oscillations, which began during attentive
             immobility and reliably predicted the imminent onset of
             rhythmic whisker twitching. Each oscillatory cycle began as
             a traveling wave of neural activity in the cortex that then
             spread to the thalamus. Just before the onset of rhythmic
             whisker twitching, the oscillations spread to the spinal
             trigeminal brainstem complex. Thereafter, the oscillations
             at all levels were synchronous with whisker protraction.
             Neural structures manifesting these rhythms also exhibited
             distributed spatiotemporal patterns of neuronal ensemble
             activity in response to tactile stimulation. Thus,
             multilevel synchronous activity in this system may encode
             not only sensory information but also the onset and temporal
             domain of tactile exploratory movements.},
   Key = {fds114964}
}

@article{fds114894,
   Author = {MA Nicolelis and JK Chapin and RC Lin},
   Title = {Development of direct GABAergic projections from the zona
             incerta to the somatosensory cortex of the
             rat.},
   Journal = {Neuroscience, ENGLAND},
   Volume = {65},
   Number = {2},
   Pages = {609-31},
   Year = {1995},
   Month = {March},
   ISSN = {0306-4522},
   Keywords = {Animals • Calcium-Binding Protein, Vitamin D-Dependent
             • Electron Transport Complex IV • Fluorescent Dyes
             • Glutamate Decarboxylase • Immunohistochemistry
             • Neural Pathways • Parvalbumins • Rats
             • Somatosensory Cortex • Stilbamidines* •
             Thalamic Nuclei • Thalamus • anatomy & histology
             • cytology • gamma-Aminobutyric Acid • growth
             & development • growth & development* • metabolism
             • physiology*},
   Abstract = {The postnatal development of direct thalamocortical
             projections from the zona incerta of the ventral thalamus to
             the whisker representation area of the rat primary
             somatosensory cortex was investigated. Cytoarchitectonic
             analysis based on Nissl staining, cytochrome oxidase
             histochemistry and immunohistochemistry for glutamic acid
             decarboxylase, GABA, parvalbumin and calbindin D28K revealed
             that the zona incerta can be clearly distinguished from
             surrounding diencephalic structures from the day of birth.
             Moreover, four distinct anatomical subdivisions of this
             nucleus were identified: the rostral, dorsal, ventral and
             caudal. Of these, the ventral subdivision is by far the most
             conspicuous, containing the highest density of neurons, and
             the highest levels of cytochrome oxidase, glutamate
             decarboxylase, GABA, parvalbumin and calbindin D28K. In
             contrast, the dorsal, rostral and caudal subdivisions
             contain fewer cells, lower levels of glutamic acid
             decarboxylase and GABA and very few parvalbumin-positive and
             calbindin-positive neurons. Small injections of rhodamine
             coated microspheres or Fluoro-gold in the primary
             somatosensory cortex of animals at different stages of
             development revealed the existence of retrogradely labeled
             neurons in the rostral and dorsal subdivisions of the zona
             incerta from postnatal day 1. At this age, retrogradely
             labeled cells were also found in the ventral lateral,
             ventral posterior medial, posterior medial, centrolateral,
             ventral medial and magnocellular subdivision of the medial
             geniculate nuclei of the dorsal thalamus. The density of the
             incertocortical projection reaches its maximum between the
             first and second postnatal weeks, decreasing subsequently,
             until an adult pattern of labeling is achieved. Tracer
             injections combined with immunohistochemistry revealed that
             the majority of the incertocortical projection derives from
             GABAergic neurons, implying a potentially inhibitory role
             for the incertocortical projection. These results
             demonstrate that the rat trigeminal system contains parallel
             thalamocortical pathways of opposite polarity, emerging from
             both the dorsal (glutamatergic, excitatory) and ventral
             (GABAergic, inhibitory) thalamus since the day of birth. As
             such, these findings suggest that, contrary to the classical
             notion, not only the dorsal but also the ventral thalamus
             may play a special role in both cortical maturation and
             function.},
   Key = {fds114894}
}

@article{fds114914,
   Title = {Nicolelis MAL, Baccala LA, Lin RCS, Chapin JK  (1995)
             Sensorimotor encoding by synchronous neural ensemble
             activity at multiple levels of the somatosensory system.
             Science 268: 1353-1358.},
   Year = {1995},
   Key = {fds114914}
}

@article{fds114916,
   Title = {Nicolelis MAL, Chapin JK, Lin RCS (1995)  Development of
             the direct projections from the zona incerta to the primary
             somatosensory cortex in rats.  Neurosci 65:
             609-631.},
   Year = {1995},
   Key = {fds114916}
}

@article{fds114917,
   Title = {Chapin JK, Nicolelis MAL (1995)  Beyond single unit
             recording: Characterizing neural information in networks of
             simultaneously recorded neurons.  In: Scale in Conscious
             Experience, eds. J. King and K.H. Pribram.  Lawrence
             Erlbaum Assoc., New Jersey, pp. 133-153.},
   Year = {1995},
   Key = {fds114917}
}

@article{fds114945,
   Author = {MA Nicolelis and JK Chapin},
   Title = {Spatiotemporal structure of somatosensory responses of
             many-neuron ensembles in the rat ventral posterior medial
             nucleus of the thalamus.},
   Journal = {The Journal of neuroscience : the official journal of the
             Society for Neuroscience, UNITED STATES},
   Volume = {14},
   Number = {6},
   Pages = {3511-32},
   Year = {1994},
   Month = {June},
   ISSN = {0270-6474},
   Keywords = {Anesthesia • Animals • Brain Mapping • Cell
             Aggregation • Computer Graphics • Evoked
             Potentials, Somatosensory* • Neurons • Physical
             Stimulation • Rats • Rats, Inbred Strains •
             Reaction Time • Thalamic Nuclei • Vibrissae •
             Wakefulness • physiology • physiology*},
   Abstract = {Classically, the rat ventral posterior medial (VPM) nucleus
             of the thalamus has been considered as a simple passive
             relay for single-whisker information to the primary
             somatosensory cortex (SI). However, recent reports have
             suggested that the VPM could contain a much more coarsely
             coded and spatiotemporally complex representation of the rat
             whisker pad. To address this possibility properly, we have
             carried out chronic simultaneous recordings of large numbers
             (up to 23) of single neurons, distributed across the entire
             VPM, in both awake and lightly anesthetized adult rats.
             Quantitative, computer-based reconstruction of receptive
             fields (RFs) revealed that single VPM neurons exhibit
             significant responses to discrete stimulation of as many as
             20 single whiskers (mean +/- SD RF size, 13.7 +/- 4.8
             whiskers). By defining multiple response magnitude (RM)
             thresholds it was possible to subdivide these large VPM RFs
             quantitatively into a prominent center (mean +/- SD, 1.41
             +/- 0.70 whiskers, RM > 95%) and an excitatory surround (up
             to 18 whiskers, RM < 95%). VPM neurons exhibited both
             short-latency responses (SLRs, from 4 to 10 msec
             poststimulus) and/or long-latency responses (LLRs, 15-25
             msec), each followed by inhibitory responses. Though LLRs
             were weaker (mean +/- SD, 47.19 +/- 33.34 Hz) than SLRs
             (119.63 +/- 50.12 Hz), they often defined RFs that differed
             considerably from those defined by the SLRs of the same
             cell. In particular, VPM cells with short-latency RFs
             centered in caudal whiskers (e.g., C1, D1, E1) showed a
             poststimulus time-dependent shift of these RF centers toward
             the rostral whiskers (e.g., C4, D4, E4). These
             caudal-to-rostral (C-->RF shifts occurred in neurons with
             the largest RFs of our sample (17.2 +/- 2.4 whiskers). On
             the other hand, VPM cells with short-latency RFs centered in
             rostral whiskers had the smallest RFs (13.1 +/- 4.1
             whiskers) and usually did not exhibit time-dependent RF
             center shifts. Multivariate analysis revealed that these two
             groups of VPM neurons, C-->R shifting and rostral position
             (RP) cells, could be statistically distinguished according
             to a combination of three RF attributes (short-latency RF
             center location, RF size, and magnitude of RF center shift).
             Quantitative, computer-based reconstruction of "population
             response maps" demonstrated that the "place" coding for each
             single whisker in the VPM involved a distinct weighted
             contribution from a large proportion of the simultaneously
             recorded neurons.(ABSTRACT TRUNCATED AT 400
             WORDS)},
   Key = {fds114945}
}

@article{fds114871,
   Title = {Bennett-Clarke CA, Nicolelis MAL, Jacquin MF (1994)
             Proceedings of a satellite symposium of the 1993 Society for
             Neuroscience Meeting. Somat Mot Res 11: 197-204.},
   Year = {1994},
   Key = {fds114871}
}

@article{fds114913,
   Title = {Nicolelis MAL, Chapin JK (1994) Spatiotemporal structure of
             somatosensory responses of many-neuron ensembles in the rat
             ventral posterior medial nucleus of the thalamus. J Neurosci
             14: 3511-3532.},
   Year = {1994},
   Key = {fds114913}
}

@article{fds114959,
   Author = {JJ Arends and CA Bennett-Clarke and MF Jacquin and MA Nicolelis and PJ
             Shortland},
   Title = {Barrels VI: proceedings of a satellite symposium of the 1993
             Society for Neuroscience meeting.},
   Journal = {Somatosensory & motor research, UNITED STATES},
   Volume = {11},
   Number = {3},
   Pages = {197-204},
   Year = {1994},
   ISSN = {0899-0220},
   Keywords = {Age Factors • Animals • Brain Mapping •
             Cerebral Cortex • Neural Pathways • Rats •
             Somatosensory Cortex • Thalamic Nuclei •
             Trigeminal Nuclei • Vibrissae • innervation*
             • physiology • physiology*},
   Key = {fds114959}
}

@article{fds114906,
   Author = {MA Nicolelis and RC Lin and DJ Woodward and JK Chapin},
   Title = {Dynamic and distributed properties of many-neuron ensembles
             in the ventral posterior medial thalamus of awake
             rats.},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America, UNITED STATES},
   Volume = {90},
   Number = {6},
   Pages = {2212-6},
   Year = {1993},
   Month = {March},
   ISSN = {0027-8424},
   Keywords = {Animals • Electrophysiology • Models, Neurological
             • Neurons • Physical Stimulation • Rats
             • Thalamus • Vibrissae • Wakefulness •
             innervation • methods • physiology •
             physiology*},
   Abstract = {The traditional view that the map of the face in the ventral
             posterior medial thalamus (VPM) is static and highly
             discrete was derived largely from qualitative studies that
             reported only small, robust, and nonoverlapping receptive
             fields (RFs). Here, by using more quantitative techniques,
             we have provided evidence for an alternative hypothesis: the
             RFs in the VPM are large and overlapping and tend to shift
             as a function of post-stimulus time. These results were
             obtained through simultaneous recordings of up to 23 single
             neurons across the whisker representation in the VPM of
             rats. Under both awake and anesthetized conditions, these
             neurons responded robustly at short (4-6 ms) and/or long
             (15-25 ms) latencies to discrete vibromechanical stimulation
             of single facial whiskers. Computer graphics were used to
             construct three-dimensional plots depicting the magnitudes
             of neuronal responses to stimulation of each of several
             whiskers as a function of post-stimulus time. These
             "spatiotemporal RFs" demonstrated that (i) the RFs of VPM
             neurons are quite large, covering up to 20 whiskers and (ii)
             the spatial locations of these RFs may shift dramatically
             over the first 35 ms of post-stimulus time, especially from
             the caudal-most to the rostral-most whiskers on the face.
             These results suggest that the VPM contains a dynamic and
             distributed representation of the face, in which stimulus
             information is coded in both spatial and temporal
             domains.},
   Key = {fds114906}
}

@article{fds114962,
   Author = {MA Nicolelis and RC Lin and DJ Woodward and JK Chapin},
   Title = {Induction of immediate spatiotemporal changes in thalamic
             networks by peripheral block of ascending cutaneous
             information.},
   Journal = {Nature, ENGLAND},
   Volume = {361},
   Number = {6412},
   Pages = {533-6},
   Year = {1993},
   Month = {February},
   ISSN = {0028-0836},
   Keywords = {Animals • Evoked Potentials • Lidocaine •
             Nerve Net • Neuronal Plasticity • Rats •
             Reaction Time • Sensory Deprivation • Thalamus
             • pharmacology • physiology •
             physiology*},
   Abstract = {Peripheral sensory deprivation induces reorganization within
             the somatosensory cortex of adult animals. Although most
             studies have focused on the somatosensory cortex, changes at
             subcortical levels (for example the thalamus) could also
             play a fundamental role in sensory plasticity. To
             investigate this, we made chronic simultaneous recordings of
             large numbers of single neurons across the ventral posterior
             medial thalamus (VPM) in adult rats. This allowed a
             continuous and quantitative evaluation of the receptive
             fields of the same sample of single VPM neurons per animal,
             before and after sensory deprivation. Local anaesthesia in
             the face induced an immediate and reversible reorganization
             of a large portion of the VPM map. This differentially
             affected the short latency (4-6 ms) responses (SLRs) and
             long latency (15-25 ms) responses (LLRs) of single VPM
             neurons. The SLRs and LLRs normally define spatiotemporally
             complex receptive fields in the VPM. Here we report that 73%
             of single neurons whose original receptive fields included
             the anaesthetized zone showed immediate unmasking of SLRs in
             response to stimulation of adjacent cutaneous regions,
             and/or loss of SLRs with preservation or enhancement of LLRs
             in response to stimulation of regions just surrounding the
             anaesthetized zone. This thalamic reorganization
             demonstrates that peripheral sensory deprivation may induce
             immediate plastic changes at multiple levels of the
             somatosensory system. Further, its spatiotemporally complex
             character suggests a disruption of the normal dynamic
             equilibrium between multiple ascending and descending
             influences on the VPM.},
   Key = {fds114962}
}

@article{fds114869,
   Title = {Nicolelis MAL, Lin RCS, Woodward DJ, Chapin JK (1993)
             Peripheral block of ascending cutaneous information induces
             immediate spatiotemporal changes in thalamic networks.
             Nature 361: 533-536.},
   Year = {1993},
   Key = {fds114869}
}

@article{fds114912,
   Title = {Nicolelis MAL, Lin RCS, Woodward DJ, Chapin JK (1993)
             Dynamic and distributed properties of many-neuron ensembles
             in the ventral posterior medial (VPM) thalamus of awake
             rats. Proc Natl Acad Sci USA 90: 2212-2216.},
   Year = {1993},
   Key = {fds114912}
}

@article{fds114963,
   Author = {MA Nicolelis and JK Chapin and RC Lin},
   Title = {Somatotopic maps within the zona incerta relay parallel
             GABAergic somatosensory pathways to the neocortex, superior
             colliculus, and brainstem.},
   Journal = {Brain research, NETHERLANDS},
   Volume = {577},
   Number = {1},
   Pages = {134-41},
   Year = {1992},
   Month = {April},
   ISSN = {0006-8993},
   Keywords = {Afferent Pathways • Animals • Brain Mapping •
             Brain Stem • Cerebral Cortex •
             Immunohistochemistry • Rats • Somatosensory Cortex
             • Superior Colliculus • Thalamus • anatomy &
             histology • anatomy & histology* •
             gamma-Aminobutyric Acid • methods* •
             physiology*},
   Abstract = {Neurons located in the zona incerta (ZI) of the ventral
             thalamus project to several regions of the central nervous
             system, including the neocortex, superior colliculus, and
             brainstem. However, whether these projections are
             functionally segregated remains unknown. This issue was
             addressed here by combining neuroanatomical tracers with
             immunohistochemical staining for gamma-aminobutyric acid
             (GABA) and/or parvalbumin, coupled with neurophysiological
             mapping. GABAergic projection neurons were found in four
             distinct subregions of the ZI including: (1) the rostral
             pole of the ZI, from which neurons project to the
             supragranular layers of the neocortex (especially layer I);
             (2) the dorsal subregion of the ZI, where both ascending
             projections to the neocortex and descending projections to
             the pretectal area were observed; (3) the ventral subregion
             of the ZI, whose neurons project to the superior colliculus;
             and 3) the caudal pole of the ZI, from which descending
             projections to the lower brainstem and spinal cord were
             observed. Somatotopic representations of the contralateral
             cutaneous periphery were also identified in the dorsal and
             ventral subregions of ZI, both of which were found to
             receive dense direct afferent projections from the
             trigeminal complex, and dorsal column nuclei. These results
             suggest that the rat ZI is a major somatosensory relay in
             the ventral thalamus, carrying feed-forward inhibitory
             signals to neocortical and subcortical targets, in parallel
             with the excitatory somatosensory pathways.},
   Key = {fds114963}
}

@article{fds114896,
   Author = {MA Nicolelis and JK Chapin and RC Lin},
   Title = {Neonatal whisker removal in rats stabilizes a transient
             projection from the auditory thalamus to the primary
             somatosensory cortex.},
   Journal = {Brain research, NETHERLANDS},
   Volume = {567},
   Number = {1},
   Pages = {133-9},
   Year = {1991},
   Month = {December},
   ISSN = {0006-8993},
   Keywords = {Aging • Animals • Animals, Newborn • Auditory
             Cortex • Axonal Transport • Fluorescent Dyes
             • Functional Laterality • Rats •
             Somatosensory Cortex • Thalamus • Vibrissae •
             anatomy & histology • growth & development •
             innervation • physiology*},
   Abstract = {A normally transient cross-modal thalamocortical projection
             from the magnocellular subdivision of the medial geniculate
             nucleus (MGm) to the primary somatosensory (SI) cortex of
             rats was found to remain unchanged throughout adulthood
             following unilateral removal of whiskers in newborn animals.
             The normal MGm projection to the auditory cortex is not lost
             in these neonatally whisker-deprived adults rats but some of
             the MGm neurons send collaterals to both primary auditory
             and SI cortices. Parallel electrophysiological experiments
             demonstrated the multimodal character of some MGm neurons,
             since they responded to both auditory and cutaneous
             stimulation. These results suggest that the areal
             distribution in the cortex of thalamocortical projections
             arising from a multimodal thalamic nucleus, such as the MGm,
             may be determined during early postnatal development by the
             normal flow of sensory information from the periphery to the
             thalamus and that an early postnatal somatosensory
             deprivation may prevent the normal withdrawal of a
             cross-modal projection from the MGm to the
             SI.},
   Key = {fds114896}
}

@article{fds114904,
   Author = {MA Nicolelis and JK Chapin and RC Lin},
   Title = {Thalamic plasticity induced by early whisker removal in
             rats.},
   Journal = {Brain research, NETHERLANDS},
   Volume = {561},
   Number = {2},
   Pages = {344-9},
   Year = {1991},
   Month = {October},
   ISSN = {0006-8993},
   Keywords = {Aging • Animals • Animals, Newborn •
             Mechanoreceptors • Neuronal Plasticity* • Neurons
             • Rats • Rats, Inbred Strains • Reference
             Values • Skin • Thalamus • Vibrissae •
             growth & development • innervation* • physiology
             • physiology*},
   Abstract = {Neurophysiological mapping was used to study the effects of
             early postnatal removal of mystacial whiskers on the
             organization of cutaneous receptive fields (RFs) within the
             ventral posterior thalamus (VP) of rats. This sensory
             deprivation induced an extensive reorganization of the
             thalamus, as reflected in larger facial or continuous
             overlapping face-body RFs and a higher proportion of
             slowly-adapting responses. Mapping of the VP of young rats
             (2-3 weeks old) demonstrated that the functional
             organization of the immature VP thalamus resembles that of
             the sensory-deprived VP, suggesting that an early postnatal
             sensory deprivation may interfere with the normal process of
             thalamic development.},
   Key = {fds114904}
}

@article{fds114908,
   Author = {CS Lin and MA Nicolelis and JS Schneider and JK Chapin},
   Title = {GABAergic pathway from zona incerta to neocortex:
             clarification.},
   Journal = {Science (New York, N.Y.), UNITED STATES},
   Volume = {251},
   Number = {4998},
   Pages = {1162},
   Year = {1991},
   Month = {March},
   ISSN = {0036-8075},
   Keywords = {Animals • Axonal Transport • Cerebral Cortex
             • Diencephalon • Horseradish Peroxidase •
             Mice • Neurons • Rats • Thalamus •
             anatomy & histology* • cytology •
             gamma-Aminobutyric Acid • physiology*},
   Key = {fds114908}
}

@article{fds114899,
   Author = {LA Baccala and MA Nicolelis and CH Yu and M Oshiro},
   Title = {Structural analysis of neural circuits using the theory of
             directed graphs.},
   Journal = {Computers and biomedical research, an international journal,
             UNITED STATES},
   Volume = {24},
   Number = {1},
   Pages = {7-28},
   Year = {1991},
   Month = {February},
   ISSN = {0010-4809},
   Keywords = {Animals • Models, Biological* • Nerve Net •
             Software • Vertebrates • physiology*},
   Abstract = {A new approach to analysis of structural properties of
             biological neural circuits is proposed based on their
             representation in the form of abstract structures called
             directed graphs. To exemplify this methodology, structural
             properties of a biological neural network and randomly wired
             circuits (RC) were compared. The analyzed biological circuit
             (BC) represented a sample of 39 neural nuclei which are
             responsible for the control of the cardiovascular function
             in higher vertebrates. Initially, direct connections of both
             circuits were stored in a square matrix format. Then,
             standard algorithms derived from the theory of directed
             graphs were applied to analyze the pathways of the circuits
             according to their length (in number of synapses), degree of
             connectedness, and structural strength. Thus, the BC was
             characterized by the presence of short, reciprocal, and
             unidirectional pathways which presented a high degree of
             heterogeneity in their strengths. This heterogeneity was
             mainly due to the existence of a small cluster of
             reciprocally connected neural nuclei in the circuit that
             have access, through short pathways, to most of the network.
             On the other hand, RCs were characterized by the presence of
             long and mainly reciprocal pathways which showed lower and
             absolute homogeneous strengths. Through this study the
             proposed methodology was demonstrated to be a simple and
             efficient way to store, analyze, and compare basic
             neuroanatomical information.},
   Key = {fds114899}
}

@article{fds114892,
   Author = {MA Nicolelis and JK Chapin and CS Lin},
   Title = {Ontogeny of corticocortical projections of the rat
             somatosensory cortex.},
   Journal = {Somatosensory & motor research, UNITED STATES},
   Volume = {8},
   Number = {3},
   Pages = {193-200},
   Year = {1991},
   ISSN = {0899-0220},
   Keywords = {Aging • Animals • Caudate Nucleus • Cerebral
             Cortex • Corpus Callosum • Dominance, Cerebral
             • Neural Pathways • Neurons • Putamen •
             Rats • Somatosensory Cortex • Thalamic Nuclei
             • anatomy & histology • anatomy & histology*
             • physiology* • ultrastructure},
   Abstract = {Rhodamine-coated microspheres (RCMs) were injected into the
             primary somatosensory cortex (SI) of rats ranging in age
             from postnatal (PN) day 1 to adulthood. Ipsilateral
             corticocortical and callosal projections within the SI were
             identified as early as PN day 1. At the end of the first PN
             week, ipsilaterally projecting neurons located in sublayer
             VIb were the first to assume an adult-like pattern of
             connectivity. Injections at subsequent postnatal ages
             revealed that an adult pattern of lamination of ipsilateral
             corticocortical projections within the SI is established
             between PN weeks 2 and 3, comprising projection neurons from
             layers II/III, layer V, and sublayer VIb. Therefore, local
             interactions in the rat SI are mediated not only by
             pyramidal neurons of layers III and V, derived from the
             cortical plate, but also by a subpopulation of
             ontogenetically older neurons located in the sublayer VIb,
             which may correspond to the subplate neurons of other
             species. Overall, these results suggest the existence of
             three independent short-range corticocortical systems of
             projections within the rat SI, which differ in terms of the
             laminar distribution and ontogenetic origin of their
             cells.},
   Key = {fds114892}
}

@article{fds114895,
   Author = {MA Nicolelis and LA Baccala},
   Title = {Rhythmic bacterial susceptibility to antibiotics at a large
             hospital.},
   Journal = {Journal of clinical epidemiology, ENGLAND},
   Volume = {44},
   Number = {2},
   Pages = {191-205},
   Year = {1991},
   ISSN = {0895-4356},
   Keywords = {Anti-Bacterial Agents • Bacteria • Bacterial
             Infections • Cross Infection • Escherichia coli
             • Humans • Klebsiella pneumoniae • Proteus
             mirabilis • Pseudomonas aeruginosa • Species
             Specificity • Staphylococcus aureus • drug effects
             • drug effects* • microbiology* •
             pharmacology*},
   Abstract = {The in vitro susceptibility response of Staphylococcus
             aureus, Klebsiella pneumoniae, Escherichia coli, Proteus
             mirabilis and Pseudomonas aeruginosa to a set of antibiotics
             was investigated in a survey comprising 19,380 positive
             cultures over a period of 5 years in a large hospital
             environment. Four out of the five species (P. aeruginosa
             being the exception) presented a species-specific,
             drug-independent, rhythmic variation of their level of
             susceptibility to several antibiotics over the time of the
             study. The species-specific rhythmic responses were further
             characterized by spectral analysis, autocorrelation and
             cross-correlation functions. Through this analysis it was
             possible to rank the species according to their main period
             of oscillation. The longest period of oscillation was
             detected for S. aureus (38 months). K. pneumoniae and E.
             coli presented intermediate values (25 and 23 months
             respectively), and P. mirabilis the shortest period of
             oscillation (11 months). Species displaying long periods of
             oscillation tended to present very low levels of
             susceptibility, while species displaying short periods of
             oscillation usually presented the highest levels of
             susceptibility observed. Although some hospital
             environmental factors, such as drug consumption, were also
             analyzed, no correlation was found between them and the in
             vitro bacterial cyclic responses to antibiotics.},
   Key = {fds114895}
}

@article{fds114969,
   Author = {CS Lin and MA Nicolelis and JS Schneider and JK Chapin},
   Title = {A major direct GABAergic pathway from zona incerta to
             neocortex.},
   Journal = {Science (New York, N.Y.), UNITED STATES},
   Volume = {248},
   Number = {4962},
   Pages = {1553-6},
   Year = {1990},
   Month = {June},
   ISSN = {0036-8075},
   Keywords = {Animals • Cerebral Cortex • Diencephalon •
             Dopamine • Glutamate Decarboxylase •
             Immunohistochemistry • Neural Pathways • Neurons
             • Rats • analysis • enzymology •
             gamma-Aminobutyric Acid • physiology •
             physiology*},
   Abstract = {Retrograde fluorescent tracers were used to demonstrate a
             previously unknown but sizable direct gamma-aminobutyric
             acid (GABA)-containing neuronal pathway from the zona
             incerta to the neocortex in rats. This incertocortical
             pathway was found to project bilaterally to the entire
             neocortex and exhibited a rough corticotopic organization.
             Many of the zona incerta neurons projecting to the parietal
             and occipital cortices could also be immunohistochemically
             stained with antibodies to glutamic acid decarboxylase and
             GABA. Few of these neurons were immunoreactive to tyrosine
             hydroxylase antibodies, which identify dopamine-containing
             neurons. Injections in the frontal and entorhinal cortices
             labeled many neurons near or within the dopaminergic A13
             subdivision of the zona incerta. In addition, the
             incertocortical system was found to be significantly larger
             during early postnatal (2 to 3 weeks) development. The
             projection pattern of this newly discovered pathway
             resembles that of the monoaminergic and cholinergic systems,
             arising from the brainstem and forebrain, suggesting
             possible similarities of function.},
   Key = {fds114969}
}

@article{fds114948,
   Author = {MA Nicolelis and G Tinone and K Sameshima and C Timo-Iaria and CH Yu and MT
             Van de Bilt},
   Title = {Connection, a microcomputer program for storing and
             analyzing structural properties of neural
             circuits.},
   Journal = {Computers and biomedical research, an international journal,
             UNITED STATES},
   Volume = {23},
   Number = {1},
   Pages = {64-81},
   Year = {1990},
   Month = {February},
   ISSN = {0010-4809},
   Keywords = {Algorithms • Cardiovascular System • Information
             Systems • Microcomputers* • Models, Neurological*
             • Neural Pathways • Software Design •
             Software* • anatomy & histology* •
             innervation*},
   Abstract = {The application of a microcomputer-based system (the
             Connection system) designed to deal with neuroanatomical
             information commonly analyzed by researchers and involved in
             the study of structural properties of neural circuits is
             presented. This system can be employed at first as a
             readily-accessible database containing physiological and
             anatomical data from nuclei of the central nervous system
             which define a network with up to 45 elements and their
             subdivisions and connections. Once the database from a
             specific network is built and stored in a file, routines of
             this system can be used to classify the nuclei in term of
             their afferents and efferents and also to display all
             possible pathways linking any pair of nuclei and their
             respective length (number of synapses). The role of such a
             system as an auxiliary tool in neuroanatomical and
             electrophysiological research is discussed by presenting the
             results obtained from the analysis of the neural circuits
             involved in cardiovascular function control in higher
             vertebrates.},
   Key = {fds114948}
}

@article{fds114911,
   Title = {Lin CS,  Nicolelis MAL, Schneider JS, Chapin JK (1990) A
             major direct GABAergic pathway from zona incerta to
             neocortex. Science 248: 1553-1556.},
   Year = {1990},
   Key = {fds114911}
}

@article{fds114950,
   Author = {MA Nicolelis and CH Yu and LA Baccala},
   Title = {Structural characterization of the neural circuit
             responsible for control of cardiovascular functions in
             higher vertebrates.},
   Journal = {Computers in biology and medicine, UNITED
             STATES},
   Volume = {20},
   Number = {6},
   Pages = {379-400},
   Year = {1990},
   ISSN = {0010-4825},
   Keywords = {Animals • Cardiovascular System • Cluster Analysis
             • Computer Simulation* • Microcomputers •
             Models, Biological* • Nerve Net • Vertebrates
             • innervation* • physiology*},
   Abstract = {A comparison of structural properties of a biological neural
             system responsible for cardiovascular function control in
             higher vertebrates with randomly connected networks was
             pursued using matrix representations of those circuits. The
             biological circuit was characterized by the presence of some
             heavily connected nuclei in contrast to the random networks
             that had equally distributed connections between their
             elements. This property of the analysed biological circuit
             was shown to account for a high logarithmic correlation
             found between two indexes defined to represent pointwise
             features of the nuclei and their global contribution to the
             whole network. The first index is obtained by the product of
             the number of inputs and of outputs of a nucleus and was
             called power index (PI). The second one, called occurrence
             index (OI), defines how many times a specific nucleus is
             crossed when all possible pathways joining two nuclei of the
             circuit are obtained. This PI-OI correlation was clearly
             dependent on the pathway length distribution (expressed in
             number of synapses), and was maximal considering pathways
             with a low number of synapses. When randomly connected
             circuits were analysed lower correlation was found between
             the same two indexes and only for much longer pathways.
             Therefore, it is proposed that the analysis of the PI-OI
             correlation can be useful to quantify structural differences
             between biological neural circuits as distinguished from
             randomly connected networks and also between neural systems
             at different levels of phylogenetic and ontogenetic
             development.},
   Key = {fds114950}
}

@article{fds114956,
   Author = {GS Montes and MA Nicolelis and HP Brentani-Samaia and SS
             Furuie},
   Title = {Collagen fibril diameters in arteries of mice. A comparison
             of manual and computer-aided morphometric
             analyses.},
   Journal = {Acta anatomica, SWITZERLAND},
   Volume = {135},
   Number = {1},
   Pages = {57-61},
   Year = {1989},
   ISSN = {0001-5180},
   Keywords = {Animals • Arteries • Collagen • Female •
             Histocytochemistry • Image Processing,
             Computer-Assisted* • Male • Mice •
             Microscopy, Electron • ultrastructure*},
   Abstract = {Arteries of mice were studied by a silver impregnation
             technique, by the Picrosirius-polarization method and by
             transmission electron microscopy. The histochemical results
             obtained coincided with the electron-microscopic
             observations in showing the presence of two distinct
             collagen populations, segregated into different compartments
             of each artery. The fibrous component of the tunica media
             was comprised of reticulin fibers, which displayed a
             distinct argyrophilia when studied by means of the silver
             impregnation technique, and showed up as thin, weakly
             birefringent, greenish fibers when examined with the aid of
             the Picrosirius-polarization method. In addition, the
             electron-microscopic studies disclosed the presence of thin
             collagen fibrils in the tunica media, contrasting with the
             thicker fibrils that could be localized ultrastructurally to
             the tunica adventitia where nonargyrophil, coarse collagen
             fibers had been characterized by the histochemical methods
             used. In this respect, collagen distribution in arteries of
             mice is very similar to the pattern that was consistently
             observed in the other species studied, which argues in favor
             of the existence of a uniform structural pattern of collagen
             distribution that is a general phenomenon in vertebrate
             arteries. Experimental results comparing the traditional
             method and the computer-aided measurement of collagen fibril
             diameters showed that the system provides results equivalent
             to those produced by manual execution. In addition, the
             advantage in speed of the computer-aided method should prove
             useful in complicated studies where numerous structures are
             involved.},
   Key = {fds114956}
}

@article{fds114901,
   Author = {MA Nicolelis and LA Baccala},
   Title = {Do bacteria have an intrinsic rhythmic sensitivity
             pattern?},
   Journal = {Critical care medicine, UNITED STATES},
   Volume = {16},
   Number = {6},
   Pages = {650},
   Year = {1988},
   Month = {June},
   ISSN = {0090-3493},
   Keywords = {Microbial Sensitivity Tests* • Periodicity},
   Key = {fds114901}
}

@article{fds114968,
   Author = {MA Nicolelis and LA Baccala},
   Title = {Time series analysis of rhythmic bacterial resistance
             development to antibiotics.},
   Journal = {Computers and biomedical research, an international journal,
             UNITED STATES},
   Volume = {21},
   Number = {2},
   Pages = {137-57},
   Year = {1988},
   Month = {April},
   ISSN = {0010-4809},
   Keywords = {Analysis of Variance • Data Interpretation,
             Statistical* • Drug Resistance, Microbial* •
             Escherichia coli • Fourier Analysis • Periodicity*
             • Staphylococcus aureus • Time Factors • drug
             effects},
   Abstract = {The sensitivity data of Staphylococcus aureus and
             Escherichia coli to a large set of antibiotics have
             undergone time series procedures of analysis in order to
             highlight possibly periodical behavior in time. These
             oscillational patterns have been characterized through the
             use of FFT and cross-correlational and variance analysis and
             were proved to be species-specific and drug-independent. S.
             aureus was shown to have a large period of oscillation (40
             months) when compared to E. coli (from 7 to 11 months). A
             perfect species distinction was only possible through cross
             correlation. These results may reflect the influence of the
             local environment, since this finding was not referred to in
             the literature.},
   Key = {fds114968}
}

@article{fds114898,
   Author = {E Massad and AB Engel and MA Nicolelis},
   Title = {A mathematical model for spirometry.},
   Journal = {Computers and biomedical research, an international journal,
             UNITED STATES},
   Volume = {20},
   Number = {2},
   Pages = {105-12},
   Year = {1987},
   Month = {April},
   ISSN = {0010-4809},
   Keywords = {Animals • Humans • Microcomputers • Models,
             Theoretical* • Plethysmography, Whole Body • Rats
             • Rats, Inbred Strains • Spirometry*},
   Abstract = {A model originally designed to fit population growth data
             was investigated to determine whether it could fit
             spirometric traces as a function of time in normal and ill
             humans and in normal rats, obtained, respectively, by
             spirometer and whole-body plethysmography. The model showed
             great accuracy when applied to a simple spirometer coupled
             with an analog-to-digital converter interfaced with a
             personal computer. It also proved to be a good alternative
             for the more expensive and less accurate electronic devices,
             as derivative systems, and may be an attractive method for
             research and/or diagnostic centers.},
   Key = {fds114898}
}

@article{fds114961,
   Author = {MA Nicolelis and E Massad and RU Hutzler and A Engel and E Rodrigues and JC
             Bazzone, M Tomida},
   Title = {Mathematical model of Klebsiella pneumoniae resistance to
             amikacin and gentamicin.},
   Journal = {Brazilian journal of medical and biological research =
             Revista brasileira de pesquisas médicas e biológicas /
             Sociedade Brasileira de Biofísica ... [et al.],
             BRAZIL},
   Volume = {20},
   Number = {1},
   Pages = {35-41},
   Year = {1987},
   ISSN = {0100-879X},
   Keywords = {Amikacin • Drug Resistance, Microbial •
             Gentamicins • Klebsiella pneumoniae • Microbial
             Sensitivity Tests • Models, Theoretical • drug
             effects* • pharmacology*},
   Abstract = {1. The resistance of Klebsiella pneumoniae to amikacin and
             gentamicin was studied by a mathematical model to predict
             the rate of sensitivity decrease. The results accurately
             matched experimental data, showing that the model is a
             reliable predicting tool. 2. The observations were carried
             out over six years and included 2677 cultures that were
             positive for K. pneumoniae. At the beginning of the
             observation period, 85.7% of the cultures were sensitive to
             amikacin and 40.8% were sensitive to gentamicin. Sensitivity
             to amikacin showed a surprisingly rapid decrease; at the end
             of the experimental period, amikacin and gentamicin
             sensitivities were 33.3% and 27.8%, respectively. 3. We
             conclude that patterns of resistance of other bacteria could
             be investigated using this method.},
   Key = {fds114961}
}

@article{fds114967,
   Author = {E Massad and SS Furuie and Lde A Moura Júnior and PH Saldiva and MA
             Nicolelis, GM Böhm},
   Title = {The use of a personal computer in the pulmonary function
             tests of laboratory rats.},
   Journal = {Methods of information in medicine, GERMANY,
             WEST},
   Volume = {24},
   Number = {4},
   Pages = {197-9},
   Year = {1985},
   Month = {October},
   ISSN = {0026-1270},
   Keywords = {Animals • Automatic Data Processing* • Computers*
             • Microcomputers* • Plethysmography • Rats
             • Rats, Inbred Strains • Respiratory Function
             Tests • instrumentation*},
   Key = {fds114967}
}

@article{fds114966,
   Author = {PH Saldiva and E Massad and MP Caldeira and DF Calheiros and CD Saldiva and MA Nicolelis and GM Böhm},
   Title = {Pulmonary function of rats exposed to ethanol and gasoline
             fumes.},
   Journal = {Brazilian journal of medical and biological research =
             Revista brasileira de pesquisas médicas e biológicas /
             Sociedade Brasileira de Biofísica ... [et al.],
             BRAZIL},
   Volume = {18},
   Number = {4},
   Pages = {573-7},
   Year = {1985},
   ISSN = {0100-879X},
   Keywords = {Animals • Ethanol • Gasoline • Lung •
             Male • Petroleum • Rats • Rats, Inbred
             Strains • Respiratory Function Tests • Vehicle
             Emissions • drug effects* • physiopathology •
             toxicity*},
   Abstract = {This paper describes the effects of repeated exposure to
             gasoline and ethanol exhaust fumes on the pulmonary
             mechanics of rats assessed by whole-body plethysmography.
             Two groups of 12 male Wistar albino rats each were tested
             before and after exposure to diluted gasoline or ethanol
             exhaust gases for 5 weeks, 8 h per day and 5 days per week.
             An additional group of 12 rats were exposed to clean air
             under the same experimental conditions. The variations of
             the functional parameters observed in the three groups
             before and after exposure were compared. Peak Expiratory
             Flow and Forced Expiratory Mean Flows in the ranges 0-25%,
             25-50% and 50-75% of Forced Vital Capacity were
             significantly reduced in animals exposed to gasoline exhaust
             fumes, whereas the group exposed to ethanol exhaust fumes
             did not differ from the control group. This respiratory
             impairment is probably due to the presence of SO2 and the
             quality of the hydrocarbons in gasoline exhaust
             gases.},
   Key = {fds114966}
}

@article{fds114900,
   Author = {MA Nicolelis and D Katz and DJ Krupa},
   Title = {Potential circuit mechanisms underlying concurrent thalamic
             and cortical plasticity.},
   Journal = {Reviews in the neurosciences, ENGLAND},
   Volume = {9},
   Number = {3},
   Pages = {213-24},
   ISSN = {0334-1763},
   Keywords = {Animals • Cerebral Cortex • Humans • Neural
             Pathways • Neuronal Plasticity • Sensation •
             Thalamus • physiology • physiology*},
   Abstract = {During the last two decades, plastic reorganization of both
             sensory and motor representations in the adult central
             nervous system has been demonstrated following a large
             variety of manipulations, ranging from partial lesions of
             the sensory receptor surface to modifications in sensory
             experience (see /14/ for review). Yet, little is known about
             the neural circuit mechanisms underlying such reorganization
             process. Despite the difficulty in addressing this issue,
             recent studies have provided some insights into this
             fundamental question. Altogether, these studies suggest that
             the process of plastic reorganization is a system-wide
             phenomenon, involving both cortical and subcortical
             representations. Contrary to classical beliefs, recent work
             also suggests that the final outcome of the reorganization
             process is not necessarily beneficial, since it can lead to
             abnormal perceptual experiences /31/, such as the phantom
             limb sensation, and even pain /31,32/. In this review, we
             focus on recent insights into the possible circuit
             mechanisms underlying sensory plasticity and discuss the
             potential implications of these findings. We then present
             physiological evidence supporting the view that the process
             of plasticity observed at the cortical level may reflect
             simultaneous changes in many subcortical
             structures.},
   Key = {fds114900}
}

@article{fds114951,
   Author = {MA Nicolelis and YC Hong},
   Title = {Application of a microcomputer-based system in the analysis
             of infection data at the emergency units of a large
             hospital.},
   Journal = {International journal of bio-medical computing,
             ENGLAND},
   Volume = {22},
   Number = {3-4},
   Pages = {183-98},
   ISSN = {0020-7101},
   Keywords = {Brazil • Computers* • Cross Infection •
             Emergency Service, Hospital* • Escherichia coli
             Infections • Hospital Information Systems* •
             Humans • Klebsiella Infections • Microbial
             Sensitivity Tests • Microcomputers* • Pseudomonas
             Infections • Retrospective Studies • Software*
             • Staphylococcal Infections • epidemiology •
             epidemiology* • microbiology},
   Abstract = {After three years of retrospective study in four emergency
             units from a large hospital (2000 beds) and analysis of 6283
             positive cultures, a microcomputer database system was built
             to store information concerning nosocomial infections in
             order to help the clinical staff from those units to study
             the incidence of 20 bacterial species and their sensitivity
             pattern evolutions for 27 antibiotics (from samples in 15
             different collecting sites). This system was developed as an
             alternative to the hospital mainframe computer
             microbiological reports. It put emphasis on graphical
             outputs instead of the coded tables generated by the bigger
             system. This orientation and the possibility of sectorial
             infection data analysis were responsible for the general
             acceptance of the microcomputer-based system by the clinical
             staff. As the first practical results, the system was able
             to detect a particular increase in the incidence of
             Staphylococcus aureus in surgical emergency units (up to
             21.6% in 1982) as well as the dissemination of the
             antimicrobial resistance patterns of S. aureus and
             Klebsiella pneumoniae from the surgical units to the
             clinical ones. The time evolution behaviour of Pseudomonas
             aeruginosa, Escherichia coli and other nonfermentative Gram
             negative bacilli was also studied to complete the analysis
             of the most pathogenic bacterial species found in our
             emergency units.},
   Key = {fds114951}
}

@article{fds114965,
   Author = {MA Nicolelis and MA Martins and LP Meireles and D
             Birolini},
   Title = {[Analysis of incidence patterns and bacterial sensitivity in
             a surgical unit using microcomputers]},
   Journal = {AMB; revista da Associação Médica Brasileira,
             BRAZIL},
   Volume = {32},
   Number = {7-8},
   Pages = {134-40},
   ISSN = {0102-843X},
   Keywords = {Anti-Bacterial Agents • Bacteria • Computers*
             • Cross Infection • Humans • Microbial
             Sensitivity Tests* • Microcomputers* • Operating
             Rooms* • drug effects* • isolation & purification
             • microbiology* • pharmacology*},
   Key = {fds114965}
}

@article{fds114955,
   Author = {MA Nicolelis and CR de Carvalho},
   Title = {[Standardization of antimicrobial procedures using
             computers]},
   Journal = {Revista do Hospital das Clínicas, BRAZIL},
   Volume = {40},
   Number = {5},
   Pages = {227-32},
   ISSN = {0041-8781},
   Keywords = {Anti-Bacterial Agents • Bacteria • Computers*
             • Cross Infection • Drug Resistance, Microbial
             • Humans • Microbial Sensitivity Tests •
             Microcomputers* • drug effects* • pharmacology*
             • prevention & control • standards*},
   Key = {fds114955}
}


%% Papers Published   
@article{071410526096,
   Author = {Zachsenhouse, M. and Nemets, S. and Yoffe, A. and Ben-Haim,
             Y. and Lebedev, Mikhail A. and Nicolelis, Miguel A.
             L.},
   Title = {An INFO-GAP approach to linear regression},
   Journal = {ICASSP, IEEE International Conference on Acoustics, Speech
             and Signal Processing - Proceedings},
   Volume = {3},
   Pages = {800-803 -},
   Address = {Toulouse, France},
   Year = {2006},
   Keywords = {Mathematical models;Optimization;Parameter
             estimation;Probability;Problem solving;Uncertainty
             analysis;},
   Abstract = {Linear regression with high uncertainties in the
             measurements, model structure and model permanence is a
             major challenging problem. Standard regression techniques
             are based on optimizing a certain performance criterion,
             usually the mean squared error, and are highly sensitive to
             uncertainties. Regularization methods have been developed to
             address the problem of measurement uncertainty, but choosing
             the regularization parameter under severe uncertainties is
             problematic. Here we develop an alternative regression
             methodology based on satisficing rather than optimizing the
             performance criterion while maximizing the robustness to
             uncertainties. Uncertainties are represented by info-gap
             models which entail an unbounded family of nested sets of
             measurements parameterized by a non-probabilistic horizon of
             uncertainty. We prove and demonstrate that the
             robust-satisficing solution is different from the optimal
             least squares solution and that the infogap approach can
             provide higher robustness to uncertainty. &copy; 2006
             IEEE.},
   Key = {071410526096}
}

@article{8927250,
   Author = {Kim, H.K. and Biggs, J. and Schloerb, W. and Carmena, M. and Lebedev, M.A. and Nicolelis, M.A.L. and Srinivasan,
             M.A.},
   Title = {Continuous shared control for stabilizing reaching and
             grasping with brain-machine interfaces},
   Journal = {IEEE Trans. Biomed. Eng. (USA)},
   Volume = {53},
   Number = {6},
   Pages = {1164 - 73},
   Year = {2006},
   url = {http://dx.doi.org/10.1109/TBME.2006.870235},
   Keywords = {brain;handicapped aids;medical control systems;neurophysiology;prosthetics;telerobotics;},
   Abstract = {Research on brain-machine interfaces (BMI's) is directed
             toward enabling paralyzed individuals to manipulate their
             environment through slave robots. Even for able-bodied
             individuals, using a robot to reach and grasp objects in
             unstructured environments can be a difficult
             telemanipulation task. Controlling the slave directly with
             neural signals instead of a hand-master adds further
             challenges, such as uncertainty about the intended
             trajectory coupled with a low update rate for the command
             signal. To address these challenges, a continuous shared
             control (CSC) paradigm is introduced for BMI where robot
             sensors produce reflex-like reactions to augment
             brain-controlled trajectories. To test the merits of this
             approach, CSC was implemented on a 3-degree-of-freedom robot
             with a gripper bearing three co-located range sensors. The
             robot was commanded to follow eighty-three reach-and-grasp
             trajectories estimated previously from the outputs of a
             population of neurons recorded from the brain of a monkey.
             Five different levels of sensor-based reflexes were tested.
             Weighting brain commands 70% and sensor commands 30%
             produced the best task performance, better than brain
             signals alone by more than seven-fold. Such a marked
             performance improvement in this test case suggests that some
             level of machine autonomy will be an important component of
             successful BMI systems in general},
   Key = {8927250}
}

@article{9020704,
   Author = {Kim, S.-P. and Sanchez, J.C. and Rao, Y.N. and Erdogmus, D. and Carmena, J.M. and Lebedev, M.A. and Nicolelis, M.A.L. and Principe, J.C.},
   Title = {A comparison of optimal MIMO linear and nonlinear models for
             brain-machine interfaces},
   Journal = {J. Neural Eng. (UK)},
   Volume = {3},
   Number = {2},
   Pages = {145 - 61},
   Year = {2006},
   url = {http://dx.doi.org/10.1088/1741-2560/3/2/009},
   Keywords = {brain;delays;generalisation (artificial intelligence);medical
             signal processing;MIMO systems;neural nets;neurophysiology;user
             interfaces;Wiener filters;},
   Abstract = {The field of brain-machine interfaces requires the
             estimation of a mapping from spike trains collected in motor
             cortex areas to the hand kinematics of the behaving animal.
             This paper presents a systematic investigation of several
             linear (Wiener filter, LMS adaptive filters, gamma filter,
             subspace Wiener filters) and nonlinear models (time-delay
             neural network and local linear switching models) applied to
             datasets from two experiments in monkeys performing motor
             tasks (reaching for food and target hitting). Ensembles of
             100-200 cortical neurons were simultaneously recorded in
             these experiments, and even larger neuronal samples are
             anticipated in the future. Due to the large size of the
             models (thousands of parameters), the major issue studied
             was the generalization performance. Every parameter of the
             models (not only the weights) was selected optimally using
             signal processing and machine learning techniques. The
             models were also compared statistically with respect to the
             Wiener filter as the baseline. Each of the optimization
             procedures produced improvements over that baseline for
             either one of the two datasets or both},
   Key = {9020704}
}

@article{8897550,
   Author = {Kim, S.-P. and Rao, Y.N. and Erdogmus, D. and Sanchez, J.C. and Nicolelis, M.A.L. and Principe, J.C.},
   Title = {Determining patterns in neural activity for reaching
             movements using nonnegative matrix factorization},
   Journal = {EURASIP J. Appl. Signal Process. (USA)},
   Volume = {2005},
   Number = {19},
   Pages = {3113 - 21},
   Year = {2005},
   url = {http://dx.doi.org/10.1155/ASP.2005.3113},
   Keywords = {brain;matrix decomposition;medical signal
             processing;neurophysiology;spatiotemporal
             phenomena;},
   Abstract = {We propose the use of nonnegative matrix factorization (NMF)
             as a model-independent methodology to analyze neural
             activity. We demonstrate that, using this technique, it is
             possible to identify local spatiotemporal patterns of neural
             activity in the form of sparse basis vectors. In addition,
             the sparseness of these bases can help infer correlations
             between cortical firing patterns and behavior. We
             demonstrate the utility of this approach using neural
             recordings collected in a brain-machine interface (BMI)
             setting. The results indicate that, using the NMF analysis,
             it is possible to improve the performance of BMI models
             through appropriate pruning of inputs},
   Key = {8897550}
}

@article{8521262,
   Author = {Sung-Phil Kim and Carmena, J.M. and Nicolelis, M.A. and Principe, J.C.},
   Title = {Multiresolution representations and data mining of neural
             spikes for brain-machine interfaces},
   Journal = {2005 2nd International IEEE/EMBS Conference on Neural
             Engineering (IEEE Cat. No.05EX938)},
   Pages = {221 - 4},
   Address = {Arlington, VA, USA},
   Year = {2005},
   Keywords = {bioelectric phenomena;biomechanics;brain;data
             mining;handicapped aids;medical signal detection;neurophysiology;signal
             representation;signal resolution;},
   Abstract = {In brain-machine interface (BMI) applications, neural firing
             activities have been represented by spike counts with a
             fixed-width time bin. Adaptive models have been designed to
             utilize these bin counts for mapping the associated behavior
             which is typically 2D or 3D hand movement. However, the
             representation of the firing activities can be enriched by
             binning neural spikes with multiple time scales based on
             multiresolution analysis. This multiresolution
             representation of neural activities can provide more
             accurate prediction of the hand movement parameters. Data
             mining techniques must be applied to models using
             multiresolution representation in order to avoid
             over-fitting. In this paper, we demonstrate that the
             multiresolution representation improves the performance of
             the linear model for BMIs compared to the model with the
             fixed-width time bin},
   Key = {8521262}
}

@article{8571986,
   Author = {Rao, Y.N. and Kim, S.-P. and Sanchez, J.C. and Erdogmus, D. and Principe, J.C. and Carmena, J.M. and Lebedev, M.A. and Nicolelis, M.A.},
   Title = {Learning mappings in brain machine interfaces with echo
             state networks},
   Journal = {2005 IEEE International Conference on Acoustics, Speech, and
             Signal Processing (IEEE Cat. No.05CH37625)},
   Volume = {Vol. 5},
   Pages = {233 - 6},
   Address = {Philadelphia, PA, USA},
   Year = {2005},
   Keywords = {brain models;generalisation (artificial intelligence);learning
             (artificial intelligence);multilayer perceptrons;neurophysiology;recurrent
             neural nets;},
   Abstract = {Brain machine interfaces (BMI) utilize linear or non-linear
             models to map the neural activity to the associated behavior
             which is typically the 2D or 3D hand position of a primate.
             Linear models are plagued by the massive disparity of the
             input and output dimensions thereby leading to poor
             generalization. A solution would be to use non-linear models
             like the recurrent multi-layer perceptron (RMLP) that
             provide parsimonious mapping functions with better
             generalization. However, this results in a drastic increase
             in the training complexity, which can be critical for
             practical use of a BMI. This paper bridges the gap between
             superior performance per trained weight and model learning
             complexity. Towards this end, we propose to use echo state
             networks (ESN) to transform the neuronal firing activity
             into a higher dimensional space and then derive an optimal
             sparse linear mapping in the transformed space to match the
             hand position. The sparse mapping is obtained using a weight
             constrained cost function whose optimal solution is
             determined using a stochastic gradient algorithm},
   Key = {8571986}
}

@article{06229905160,
   Author = {Rao, Yadunandana N. and Kim, Sung-Phil and Sanchez, Justin
             C. and Erdogmus, Deniz and Principe, Jose C. and Carmena,
             Jose M. and Lebedev, Mikhail A. and Nicolelis, Miguel
             A.},
   Title = {Learning mappings in brain machine interfaces with echo
             state networks},
   Journal = {ICASSP, IEEE International Conference on Acoustics, Speech
             and Signal Processing - Proceedings},
   Pages = {233-236 -},
   Address = {Philadelphia, PA, United States},
   Year = {2005},
   Keywords = {Learning systems;Computer networks;Neural
             networks;Mathematical models;Mapping;Computational
             complexity;Random processes;},
   Abstract = {Brain Machine Interfaces (BMI) utilize linear or non-linear
             models to map the neural activity to the associated behavior
             which is typically the 2-D or 3-D hand position of a
             primate. Linear models are plagued by the massive disparity
             of the input and output dimensions thereby leading to poor
             generalization. A solution would be to use non-linear models
             like the Recurrent Multi-Layer Perceptron (RMLP) that
             provide parsimonious mapping functions with better
             generalization. However, this results in a drastic increase
             in the training complexity, which can be critical for
             practical use of a BMI. This paper bridges the gap between
             superior performance per trained weight and model learning
             complexity. Towards this end, we propose to use Echo State
             Networks (ESN) to transform the neuronal firing activity
             into a higher dimensional space and then derive an optimal
             sparse linear mapping in the transformed space to match the
             hand position. The sparse mapping is obtained using a weight
             constrained cost function whose optimal solution is
             determined using a stochastic gradient algorithm. &copy;
             2005 IEEE.},
   Key = {06229905160}
}

@article{06239919050,
   Author = {Kim, Sung-Phil and Carmena, Jose M. and Nicolelis, Miguel A. and Principe, Jose C.},
   Title = {Multiresolution representations and data mining of neural
             spikes for brain-machine interfaces},
   Journal = {2nd International IEEE EMBS Conference on Neural
             Engineering},
   Volume = {2005},
   Pages = {221 - 224},
   Address = {Arlington, VA, United States},
   Year = {2005},
   url = {http://dx.doi.org/10.1109/CNE.2005.1419596},
   Keywords = {Data mining;Neurology;Interfaces (computer);Optical
             resolving power;Mathematical models;},
   Abstract = {In brain-machine interface (BMI) applications, neural firing
             activities have been represented by spike counts with a
             fixed-width time bin. Adaptive models have been designed to
             utilize these bin counts for mapping the associated behavior
             which is typically 2D or 3D hand movement. However, the
             representation of the firing activities can be enriched by
             binning neural spikes with multiple time scales based on
             multiresolution analysis. This multiresolution
             representation of neural activities can provide more
             accurate prediction of the hand movement parameters. Data
             mining techniques must be applied to models using
             multiresolution representation in order to avoid
             overfitting. In this paper, we demonstrate that the
             multiresolution representation improves the performance of
             the linear model for BMIs compared to the model with the
             fixed-width time bin. &copy; 2005 IEEE.},
   Key = {06239919050}
}

@article{8473631,
   Author = {Sanchez, J.C. and Erdogmus, D. and Nicolelis, M.A.L. and Wessberg, J. and Principe, J.C.},
   Title = {Interpreting spatial and temporal neural activity through a
             recurrent neural network brain-machine interface},
   Journal = {IEEE Trans. Neural Syst. Rehabil. Eng. (USA)},
   Volume = {13},
   Number = {2},
   Pages = {213 - 19},
   Year = {2005},
   url = {http://dx.doi.org/10.1109/TNSRE.2005.847382},
   Keywords = {bioelectric phenomena;biomechanics;brain;handicapped
             aids;medical signal processing;neurophysiology;nonlinear
             dynamical systems;physiological models;recurrent neural
             nets;spatiotemporal phenomena;},
   Abstract = {We propose the use of optimized brain-machine interface
             (BMI) models for interpreting the spatial and temporal
             neural activity generated in motor tasks. In this study, a
             nonlinear dynamical neural network is trained to predict the
             hand position of primates from neural recordings in a
             reaching task paradigm. We first develop a method to reveal
             the role attributed by the model to the sampled motor,
             premotor, and parietal cortices in generating hand
             movements. Next, using the trained model weights, we derive
             a temporal sensitivity measure to asses how the model
             utilized the sampled cortices and neurons in real-time
             during BMI testing},
   Key = {8473631}
}

@article{8255493,
   Author = {Sanchez, J.C. and Principe, J.C. and Carmena, J.M. and Lebedev, M.A. and Nicolelis, M.A.L.},
   Title = {Simultaneus prediction of four kinematic variables for a
             brain-machine interface using a single recurrent neural
             network},
   Journal = {Conference Proceedings. 26th Annual International Conference
             of the IEEE Engineering in Medicine and Biology Society
             (IEEE Cat. No.04CH37558)},
   Volume = {Vol.7},
   Pages = {5321 - 4},
   Address = {San Francisco, CA, USA},
   Year = {2004},
   Keywords = {biomechanics;brain;cellular biophysics;kinematics;medical
             signal processing;neurophysiology;prosthetics;recurrent
             neural nets;user interfaces;},
   Abstract = {Implementation of brain-machine interface neural-to-motor
             mapping algorithms in low-power, portable digital signal
             processors (DSPs) requires efficient use of model resources
             especially when predicting signals that show
             interdependencies. We show here that a single recurrent
             neural network can simultaneously predict hand position and
             velocity from the same ensemble of cells using a minimalist
             topology. Analysis of the trained topology showed that the
             model learns to concurrently represent multiple kinematic
             parameters in a single state variable. We further assess the
             expressive power of the state variables for both large and
             small topologies},
   Key = {8255493}
}

@article{04238197985,
   Author = {Nicolelis, Miguel A. L. and Birbaumer, Niels and Muller,
             Klaus-Robert},
   Title = {Special issue on brain-machine interfaces:
             Editorial},
   Journal = {IEEE Transactions on Biomedical Engineering},
   Volume = {51},
   Number = {6},
   Pages = {877 - 880},
   Year = {2004},
   url = {http://dx.doi.org/10.1109/TBME.2004.827677},
   Key = {04238197985}
}

@article{8044205,
   Author = {Krupa, D.J. and Wiest, M.C. and Shuler, M.G. and Laubach, M. and Nicolelis, M.A.L.},
   Title = {Layer-specific somatosensory cortical activation during
             active tactile discrimination},
   Journal = {Science (USA)},
   Volume = {304},
   Number = {5679},
   Pages = {1989 - 92},
   Year = {2004},
   url = {http://dx.doi.org/10.1126/science.1093318},
   Keywords = {neurophysiology;touch (physiological);},
   Abstract = {Ensemble neuronal activity was recorded in each layer of the
             whisker area of the primary somatosensory cortex (SI) while
             rats performed a whisker-dependent tactile discrimination
             task. Comparison of this activity with SI activity evoked by
             similar passive whisker stimulation revealed fundamental
             differences in tactile signal processing during active and
             passive stimulation. Moreover, significant layer-specific
             functional differences in SI activity were observed during
             active discrimination. These differences could not be
             explained solely by variations in ascending thalamocortical
             input to SI. Instead, these results suggest that top-down
             influences during active discrimination may alter the
             overall functional nature of SI as well as layer-specific
             mechanisms of tactile processing},
   Key = {8044205}
}

@article{7981869,
   Author = {Bossetti, C.A. and Carmena, J.M. and Nicolelis, M.A.L. and Wolf, P.D.},
   Title = {Transmission latencies in a telemetry-linked brain-machine
             interface},
   Journal = {IEEE Trans. Biomed. Eng. (USA)},
   Volume = {51},
   Number = {6},
   Pages = {919 - 24},
   Year = {2004},
   url = {http://dx.doi.org/10.1109/TBME.2004.827090},
   Keywords = {bioelectric potentials;biomedical telemetry;handicapped
             aids;medical computing;neurophysiology;prosthetics;},
   Abstract = {To be clinically viable, a brain-machine interface (BMI)
             requires transcutaneous telemetry. Spike-based compression
             algorithms can be used to reduce the amount of telemetered
             data, but this type of system is subject to queuing-based
             transmission delays. This paper examines the relationships
             between the ratio of output to average input bandwidth of an
             implanted device and transmission latency and required queue
             depth. The examination was performed with a computer model
             designed to simulate the telemetry link. The input to the
             model was presorted spike data taken from a macaque monkey
             performing a motor task. The model shows that when the
             output bandwidth/average input bandwidth is in unity,
             significant transmission latencies occur. For a 32-neuron
             system, transmitting 50 bytes of data per spike and with an
             average neuron firing rate of 8.93 spikes/s, the average
             maximum delay was approximately 3.2 s. It is not until the
             output bandwidth is four times the average input bandwidth
             that average maximum delays are reduced to less than 10 ms.
             A comparison of neuron firing rate and resulting latencies
             shows that high latencies result from neuron bursting. These
             results will impact the design of transcutaneous telemetry
             in a BMI},
   Key = {7981869}
}

@article{7981871,
   Author = {Sanchez, J.C. and Carmena, J.M. and Lebedev, M.A. and Nicolelis, M.A.L. and Harris, J.G. and Principe,
             J.C.},
   Title = {Ascertaining the importance of neurons to develop better
             brain-machine interfaces},
   Journal = {IEEE Trans. Biomed. Eng. (USA)},
   Volume = {51},
   Number = {6},
   Pages = {943 - 53},
   Year = {2004},
   url = {http://dx.doi.org/10.1109/TBME.2004.827061},
   Keywords = {bioelectric potentials;biomechanics;cellular
             biophysics;correlation methods;handicapped aids;medical
             computing;neurophysiology;sensitivity analysis;},
   Abstract = {In the design of brain-machine interface (BMI) algorithms,
             the activity of hundreds of chronically recorded neurons is
             used to reconstruct a variety of kinematic variables. A
             significant problem introduced with the use of neural
             ensemble inputs for model building is the explosion in the
             number of free parameters. Large models not only affect
             model generalization but also put a computational burden on
             computing an optimal solution especially when the goal is to
             implement the BMI in low-power, portable hardware. In this
             paper, three methods are presented to quantitatively rate
             the importance of neurons in neural to motor mapping, using
             single neuron correlation analysis, sensitivity analysis
             through a vector linear model, and a model-independent
             cellular directional tuning analysis for comparisons
             purpose. Although, the rankings are not identical, up to
             sixty percent of the top 10 ranking cells were in common.
             This set can then be used to determine a reduced-order model
             whose performance is similar to that of the ensemble. It is
             further shown that by pruning the initial ensemble neural
             input with the ranked importance of cells, a reduced sets of
             cells (between 40 and 80, depending upon the methods) can be
             found that exceed the BMI performance levels of the full
             ensemble},
   Key = {7981871}
}

@article{8114248,
   Author = {Obeid, I. and Nicolelis, M.A.L. and Wolf,
             P.D.},
   Title = {A multichannel telemetry system for single unit neural
             recordings},
   Journal = {J. Neurosci. Methods (Netherlands)},
   Volume = {133},
   Number = {1-2},
   Pages = {33 - 8},
   Year = {2004},
   url = {http://dx.doi.org/10.1016/j.jneumeth.2003.09.023},
   Keywords = {bioelectric potentials;biomedical electrodes;biomedical
             telemetry;cells (electric);local area networks;medical
             signal processing;microcomputers;neurophysiology;signal
             sampling;system buses;},
   Abstract = {We present the design, testing, and evaluation of a 16
             channel wearable telemetry system to facilitate multichannel
             single unit recordings from freely moving test subjects. Our
             design is comprised of (1) a 16-channel analog front end
             board to condition and sample signals derived from implanted
             neural electrodes, (2) a digital board for processing and
             buffering the digitized waveforms, and (3) an index-card
             sized 486 PC equipped with an IEEE 802.11b wireless Ethernet
             card. Digitized data (up to 12bits of resolution at 31.25k
             samples/s per channel) is transferred to the PC and sent to
             a nearby host computer on a wireless local area network. Up
             to 12 of the 16 channels were transmitted simultaneously for
             sustained periods at a range of 9 m. The device measures 5.1
             cm&times;8.1 cm&times;12.4 cm, weighs 235 g, and is powered
             from rechargeable lithium ion batteries with a lifespan of
             45 min at maximum transmission power. The device was
             successfully used to record signals from awake, chronically
             implanted macaque and owl monkeys},
   Key = {8114248}
}

@article{8122917,
   Author = {Obeid, I. and Nicolelis, M.A.L. and Wolf,
             P.D.},
   Title = {A low power multichannel analog front end for portable
             neural signal recordings},
   Journal = {J. Neurosci. Methods (Netherlands)},
   Volume = {133},
   Number = {1-2},
   Pages = {27 - 32},
   Year = {2004},
   url = {http://dx.doi.org/10.1016/j.jneumeth.2003.09.024},
   Keywords = {analogue-digital conversion;biomedical telemetry;cellular
             biophysics;differential amplifiers;high-pass
             filters;low-pass filters;medical signal processing;neurophysiology;noise;signal
             sampling;time division multiplexing;voltage
             regulators;},
   Abstract = {We present the design and testing of a 16-channel analog
             amplifier for processing neural signals. Each channel has
             the following features: (1) variable gain (70-94 dB), (2)
             four high pass Bessel filter poles (f<sub>-3 dB</sub>=445
             Hz), (3) five low pass Bessel filter poles (f<sub>-3
             dB</sub>=6.6 kHz), and (4) differential amplification with a
             user selectable reference channel to reject common mode
             background biological noise. Processed signals are time
             division multiplexed and sampled by an on-board 12-bit
             analog to digital converter at up to 62.5k samples/s per
             channel. The board is powered by two low dropout voltage
             regulators which may be supplied by a single battery. The
             board measures 8.1 cm&times;9.9 cm, weighs 50 g, and
             consumes up to 130 mW. Its low input-referred noise (1.0
             &mu; V<sub>RMS</sub>) makes it possible to process low
             amplitude neural signals; the board was successfully tested
             in vivo to process cortically derived extracellular action
             potentials in primates. Signals processed by this board were
             compared to those generated by a commercially available
             system and were found to be nearly identical. Background
             noise generated by mastication was substantially attenuated
             by the selectable reference circuit. The described circuit
             is light weight and low power and is used as a component of
             a wearable multichannel neural telemetry
             system},
   Key = {8122917}
}

@article{7994145,
   Author = {Sanchez, J.C. and Erdogmus, D. and Rao, Y. and Sung-Phil Kim and Nicolelis, M. and Wessberg, J. and Principe,
             J.C.},
   Title = {Interpreting neural activity through linear and nonlinear
             models for brain machine interfaces},
   Journal = {Proceedings of the 25th Annual International Conference of
             the IEEE Engineering in Medicine and Biology Society (IEEE
             Cat. No.03CH37439)},
   Volume = {Vol.3},
   Pages = {2160 - 3},
   Address = {Cancun, Mexico},
   Year = {2003},
   url = {http://dx.doi.org/10.1109/IEMBS.2003.1280168},
   Keywords = {brain;feedforward neural nets;neurophysiology;physiological
             models;},
   Abstract = {Brain machine interface (BMI) design can be achieved by
             training linear and nonlinear models with simultaneously
             recorded cortical neural activity and behavior (typically
             the hand position of a primate). We propose the use of
             optimized BMI models for analyzing neural activity to assess
             the role of individual neurons and cortical areas in
             generating the performed movement. Two models
             (linear-feedforward and nonlinear-feedback) are trained to
             predict the hand position of a primate from neural
             recordings in a reaching task. Qualitative and quantitative
             investigation of the effect of neurons and their
             corresponding cortical areas through both models yields
             conclusions consistent with neurophysiologic knowledge. In
             addition, this analysis revealed the role of these areas and
             the importance of the neurons in terms of BMI
             design},
   Key = {7994145}
}

@article{7797886,
   Author = {Sanchez, J.C. and Erdogmus, D. and Rao, Y. and Principe,
             J.C. and Nicolelis, M. and Wessberg, J.},
   Title = {Learning the contributions of the motor, premotor, and
             posterior parietal cortices for hand trajectory
             reconstruction in a brain machine interface},
   Journal = {Conference Proceedings. 1st International IEEE EMBS
             Conference on Neural Engineering 2003 (Cat.
             No.03EX606)},
   Pages = {59 - 62},
   Address = {Capri Island, Italy},
   Year = {2003},
   url = {http://dx.doi.org/10.1109/CNE.2003.1196755},
   Keywords = {multilayer perceptrons;recurrent neural nets;signal
             processing;user interfaces;},
   Abstract = {The ability to record, in real-time, the activity of
             hundreds of cortical neurons gives the ability to
             selectively study the function of clusters of cortical
             neurons in Brain Machine Interface (BMI) experiments. We
             have demonstrated using a recursive multilayer perceptron
             (RMLP) that using the appropriate signal processing theory
             in a well-chosen parsimonious model, we can develop
             constructs that agree with basic physiological modeling of
             neural control. By looking through the trained model, we
             have found interesting relationships between the neuronal
             firing and the movement. The RMLP allows us to continuously
             study the relationship between neural activity and behavior
             without the active interference of the experimenter. The
             findings presented in this study offer an opportunity for
             the neuroscience community to compare the cortical
             interactions as constructed by the RMLP to what is known
             about motor neurophysiology},
   Key = {7797886}
}

@article{7838731,
   Author = {Sung-Phil Kim and Sanchez, J.C. and Erdogmus, D. and Rao,
             Y.N. and Principe, J.C. and Nicolelis, M.},
   Title = {Modeling the relation from motor cortical neuronal firing to
             hand movements using competitive linear filters and a
             MLP},
   Journal = {Proceedings of the International Joint Conference on Neural
             Networks 2003 (Cat.No.03CH37464)},
   Volume = {vol.1},
   Pages = {66 - 70},
   Address = {Portland, OR, USA},
   Year = {2003},
   url = {http://dx.doi.org/10.1109/IJCNN.2003.1223293},
   Keywords = {biomechanics;brain models;handicapped aids;multilayer
             perceptrons;neuromuscular stimulation;position
             control;Wiener filters;},
   Abstract = {Recent research has demonstrated that linear model are able
             to estimate hand positions using populations of action
             potentials collected in the pre-motor and motor cortical
             areas of a primate's brain. One of the applications of this
             result is to restore movement in patients suffering from
             paralysis. To implement this technology in real-time,
             reliable and accurate signal processing models that produce
             sufficient small error in the estimated hand positions are
             required. In this paper, we propose the hybrid model
             approach that combines competitive linear filters with a
             neural network. The mapping performance of our approach is
             compared with a single Wiener filter during reaching
             movements. Our approach demonstrates more accurate
             estimations},
   Key = {7838731}
}

@article{7907118,
   Author = {Darmanjian, S. and Sung Phil Kim and Nechyba, M.C. and Morrison, S. and Principe, J. and Wessberg, J. and Nicolelis, M.A.L.},
   Title = {Bimodal brain-machine interface for motor control of robotic
             prosthetic},
   Journal = {Proceedings 2003 IEEE/RSJ International Conference on
             Intelligent Robots and Systems (IROS 2003) (Cat.
             No.03CH37453)},
   Volume = {vol.3},
   Pages = {3612 - 17},
   Address = {Las Vegas, NV, USA},
   Year = {2003},
   url = {http://dx.doi.org/10.1109/IROS.2003.1249716},
   Keywords = {biocontrol;bioelectric potentials;hidden Markov
             models;medical robotics;neural nets;neurophysiology;prosthetics;user
             interfaces;},
   Abstract = {We are working on mapping multi-channel neural spike data,
             recorded from multiple cortical areas of an owl monkey, to
             corresponding 3D monkey arm positions. In earlier work on
             this mapping task, we observed that continuous function
             approximators (such as artificial neural networks) have
             difficulty in jointly estimating 3D arm positions for two
             distinct cases-namely, when the monkey's arm is stationary
             and when it is moving. Therefore, we propose a
             multiple-model approach that first classifies neural spike
             data into two classes, corresponding to two states of the
             monkey's arm: (1) stationary and (2) moving. Then, the
             output of this classifier is used as a gating mechanism for
             subsequent continuous models, with one model per class. In
             this paper, we first motivate and discuss our approach.
             Next, we present encouraging results for the classifier
             stage, based on hidden Markov models (HMMs), and also for
             the entire bimodal mapping system. Finally, we conclude with
             a discussion of the results and suggest future avenues of
             research},
   Key = {7907118}
}

@article{7843967,
   Author = {Sung-Phil Kim and Sanchez, J.C. and Erdogmus, D. and Rao,
             Y.N. and Wessberg, J. and Principe, J.C. and Nicolelis,
             M.},
   Title = {Divide-and-conquer approach for brain machine interfaces:
             nonlinear mixture of competitive linear models},
   Journal = {Neural Netw. (UK)},
   Volume = {16},
   Number = {5-6},
   Pages = {865 - 71},
   Year = {2003},
   url = {http://dx.doi.org/10.1016/S0893-6080(03)00108-4},
   Keywords = {brain models;delays;divide and conquer methods;learning
             (artificial intelligence);least mean squares
             methods;man-machine systems;multilayer perceptrons;nonlinear
             network analysis;user interfaces;},
   Abstract = {This paper proposes a divide-and-conquer strategy for
             designing brain machine interfaces. A nonlinear combination
             of competitively trained local linear models (experts) is
             used to identify the mapping from neuronal activity in
             cortical areas associated with arm movement to the hand
             position of a primate. The proposed architecture and the
             training algorithm are described in detail and numerical
             performance comparisons with alternative linear and
             nonlinear modeling approaches, including time-delay neural
             networks and recursive multilayer perceptrons, are
             presented. This new strategy allows training the local
             linear models using normalized LMS and using a relatively
             smaller nonlinear network to efficiently combine the
             predictions of the linear experts. This leads to savings in
             computational requirements, while the performance is still
             similar to a large fully nonlinear network},
   Key = {7843967}
}

@article{7550839,
   Author = {Obeid, I. and Morizio, J.C. and Moxon, K.A. and Nicolelis,
             M.A.L. and Wolf, P.D.},
   Title = {Two multichannel integrated circuits for neural recording
             and signal processing},
   Journal = {IEEE Trans. Biomed. Eng. (USA)},
   Volume = {50},
   Number = {2},
   Pages = {255 - 8},
   Year = {2003},
   url = {http://dx.doi.org/10.1109/TBME.2002.807643},
   Keywords = {amplifiers;arrays;biomedical electrodes;biomedical
             electronics;CMOS analogue integrated circuits;high-pass
             filters;medical signal processing;neurophysiology;prosthetics;somatosensory
             phenomena;},
   Abstract = {We have developed, manufactured, and tested two analog CMOS
             integrated circuit "neurochips" for recording from arrays of
             densely packed neural electrodes. Device A is a 16-channel
             buffer consisting of parallel noninverting amplifiers with a
             gain of 2 V/V. Device B is a 16-channel two-stage analog
             signal processor with differential amplification and
             high-pass filtering. It features selectable gains of 250 and
             500 V/V as well as reference channel selection. The
             resulting amplifiers on Device A had a mean gain of 1.99 V/V
             with an equivalent input noise of 10 &mu;V<sub>rms</sub>.
             Those on Device B had mean gains of 53.4 and 47.4 dB with a
             high-pass filter pole at 211 Hz and an equivalent input
             noise of 4.4 &mu;V<sub>rms</sub>. Both devices were tested
             in vivo with electrode arrays implanted in the somatosensory
             cortex},
   Key = {7550839}
}

@article{7507580,
   Author = {Nicolelis, M.A.L. and Chapin, J.K.},
   Title = {Controlling robots with the mind},
   Journal = {Sci. Am. (Int. Ed.) (USA)},
   Volume = {287},
   Number = {4},
   Pages = {24 - 31},
   Year = {2002},
   Keywords = {manipulator dynamics;neurophysiology;robot
             dynamics;},
   Abstract = {People with nerve or limb injuries may one day be able to
             command wheelchairs, prosthetics and even paralyzed arms and
             legs by "thinking them through" the motions},
   Key = {7507580}
}

@article{7748470,
   Author = {Won, D.S. and Obeid, L. and Morizio, J.C. and Nicolelis,
             M.A.L. and Wolf, P.D.},
   Title = {A multichannel CMOS analog front end IC for neural
             recordings},
   Journal = {Conference Proceedings. Second Joint EMBS-BMES Conference
             2002. 24th Annual International Conference of the
             Engineering in Medicine and Biology Society. Annual Fall
             Meeting of the Biomedical Engineering Society (Cat.
             No.02CH37392)},
   Volume = {vol.3},
   Pages = {2070 - 1},
   Address = {Houston, TX, USA},
   Year = {2002},
   url = {http://dx.doi.org/10.1109/IEMBS.2002.1053172},
   Keywords = {bioelectric potentials;CMOS analogue integrated
             circuits;high-pass filters;low-pass filters;neurophysiology;prosthetics;},
   Abstract = {A multichannel integrated circuit for processing
             extracellular neural signals has been designed and
             manufactured. The analog CMOS IC consists of 17 parallel
             channels, each comprised of three cascaded stages: bandpass
             filter with gain, switched capacitor filters, and output
             buffer with selectable gain. The bandpass filter stage
             features an opamp with non-inverting resistor feedback and
             an off-chip capacitor in the feedback pathway to provide
             gain (43 dB) and one high pass filter pole (220 Hz). The low
             pass pole is set by the gain-bandwidth product of the opamp.
             In the switched capacitor filter stage, a one-pole high pass
             filter (500 Hz) cascades into a two-pole biquadratic low
             pass filter (5 kHz). The switched capacitor filters may be
             controlled by either an onboard tunable ring oscillator
             centered at 50 kHz or an off-chip clock. A four-phase clock
             splitter provides the necessary filter control-signals; a
             phase delay of 180&deg; between the high and low pass clock
             lines maximizes settling time between the filters. The
             output buffer stage provides selectable gain at 20 dB or 32
             dB. The IC was manufactured by AMI using a 0.5 &mu;m triple
             metal double poly process, and measures 4.2 &times; 3.8 mm.
             The die is designed to be packaged in a flip-chip
             sub-assembly},
   Key = {7748470}
}

@article{02477219204,
   Author = {Nicolelis, Miguel A.L. and Chapin, John K.},
   Title = {Controlling Roberts with the mind},
   Journal = {Scientific American},
   Volume = {287},
   Number = {4},
   Pages = {46 -},
   Year = {2002},
   Key = {02477219204}
}

@article{7535443,
   Author = {Sanchez, J.C. and Sung-Phil Kim and Erdogmus, D. and Rao,
             Y.N. and Principe, J.C. and Wessberg, J. and Nicolelis,
             M.},
   Title = {Input-output mapping performance of linear and nonlinear
             models for estimating hand trajectories from cortical
             neuronal firing patterns},
   Journal = {Neural Networks for Signal Processing XII. Proceedings of
             the 2002 IEEE Signal Processing Society Workshop. (Cat.
             No.02TH8641)},
   Pages = {139 - 48},
   Address = {Martigny, Switzerland},
   Year = {2002},
   url = {http://dx.doi.org/10.1109/NNSP.2002.1030025},
   Keywords = {brain models;FIR filters;handicapped aids;medical signal
             processing;patient treatment;position control;real-time
             systems;recurrent neural nets;},
   Abstract = {Linear and nonlinear (TDNN) models have been shown to
             estimate hand position using populations of action
             potentials collected in the pre-motor and motor cortical
             areas of a primate's brain. One of the applications of this
             discovery is to restore movement in patients suffering from
             paralysis. For real-time implementation of this technology,
             reliable and accurate signal processing models that produce
             small error variance in the estimated positions are
             required. In this paper, we compare the mapping performance
             of the FIR filter, gamma filter and recurrent neural network
             (RNN) in the peaks of reaching movements. Each approach has
             strengths and weaknesses that are compared experimentally.
             The RNN approach shows very accurate peak position
             estimations with small error variance},
   Key = {7535443}
}

@article{02307034262,
   Author = {Hugh, G.S. and Laubach, M. and Nicolelis, M.A.L. and Henriquez, C.S.},
   Title = {A simulator for the analysis of neuronal ensemble activity:
             Application to reaching tasks},
   Journal = {Neurocomputing},
   Volume = {44-46},
   Pages = {847 - 854},
   Year = {2002},
   url = {http://dx.doi.org/10.1016/S0925-2312(02)00482-4},
   Keywords = {Learning systems;Muscle;Mathematical models;Computer
             simulation;},
   Abstract = {A biologically based, multi-cortical computational model was
             developed to investigate how ensembles of neurons learn to
             execute a three-dimensional reaching task. The model
             produces outputs of spike trains that can be analyzed using
             a variety of multivariate analysis tools. Simulations show
             that after learning, the model neurons exhibit broad
             directional tuning that depend on the defined muscle
             directions of the simulated arm, and that these neurons form
             functional clusters within cortical areas. The utility of
             the model is demonstrated by testing arm movement prediction
             strategies using ensemble activity. &copy; 2002 Published by
             Elsevier Science B.V.},
   Key = {02307034262}
}

@article{02487243203,
   Author = {Nicolelis, Miguel A.L.},
   Title = {The amazing adventures of robotrat},
   Journal = {Trends in Cognitive Sciences},
   Volume = {6},
   Number = {11},
   Pages = {449 - 450},
   Year = {2002},
   url = {http://dx.doi.org/10.1016/S1364-6613(02)01991-5},
   Keywords = {Brain;Neurophysiology;},
   Abstract = {By using electrical brain stimulation to deliver both
             'virtual' tactile cues and rewards to freely roaming rats,
             Talwar et al. have been able to instruct animals remotely to
             navigate through complex mazes and natural environments they
             have never visited before. These results provide both an
             elegant alternative way to train animals and a new approach
             to study basic neurophysiological principles of animal
             navigation.},
   Key = {02487243203}
}

@article{7401953,
   Author = {Hugh, G.S. and Laubach, M. and Nicolelis, M.A.L. and Henriquez, C.S.},
   Title = {A simulator for the analysis of neuronal ensemble activity:
             application to reaching tasks},
   Journal = {Neurocomputing (Netherlands)},
   Volume = {44-46},
   Pages = {847 - 54},
   Address = {Monterey, CA, USA},
   Year = {2002},
   Keywords = {bioelectric potentials;brain models;neural
             nets;neuromuscular stimulation;},
   Abstract = {A biologically based, multi-cortical computational model was
             developed to investigate how ensembles of neurons learn to
             execute a three-dimensional reaching task. The model
             produces outputs of spike trains that can be analyzed using
             a variety of multivariate analysis tools. Simulations show
             that after learning, the model neurons exhibit broad
             directional tuning that depend on the defined muscle
             directions of the simulated arm, and that these neurons form
             functional clusters within cortical areas. The utility of
             the model is demonstrated by testing arm movement prediction
             strategies using ensemble activity},
   Key = {7401953}
}

@article{6897270,
   Author = {Krupa, D.J. and Brisben, A.J. and Nicolelis,
             M.A.L.},
   Title = {A multi-channel whisker stimulator for producing
             spatiotemporally complex tactile stimuli},
   Journal = {J. Neurosci. Methods (Netherlands)},
   Volume = {104},
   Number = {2},
   Pages = {199 - 208},
   Year = {2001},
   url = {http://dx.doi.org/10.1016/S0165-0270(00)00345-9},
   Keywords = {biological techniques;neurophysiology;touch
             (physiological);},
   Abstract = {A system is described that delivers complex, biologically
             realistic, tactile stimuli to the rat's facial whisker pad
             by independently stimulating up to 16 individual facial
             whiskers in a flexible yet highly controlled and repeatable
             manner. The system is technically simple and inexpensive to
             construct. The system consists of an array of 16
             miniature-solenoid driven actuators that are attached to 16
             individual facial whiskers via very small (130 &mu;m dia.)
             Teflon-coated stainless steel wires. When individual
             solenoids are energized, the wire is rapidly retracted,
             resulting in a deflection of individual whiskers. The rise
             time of deflection is approx. 1 mm/ms. Repeatable
             stimulation of individual whiskers can be achieved without
             touching adjacent whiskers, thereby allowing a very high
             density of stimulators to be attached within the spatially
             restricted region of the facial whisker pad. Complex
             patterns of whisker stimulation (designed to mimic
             biologically realistic stimuli) are delivered to the whisker
             pad by activating individual solenoid actuators in precisely
             controlled temporal patterns. These stimulations can be
             combined with multi-electrode single-unit ensemble
             recordings at multiple sites within the rat trigeminal
             somatosensory system. Analysis of neuronal population
             responses to these complex stimuli is intended to examine
             how the trigeminal somatosensory system encodes and
             processes spatiotemporally complex stimuli},
   Key = {6897270}
}

@article{6633289,
   Author = {Laubach, W. and Wessberg, J. and Nicolelis,
             M.A.L.},
   Title = {Cortical ensemble activity increasingly predicts behaviour
             outcomes during learning of a motor task},
   Journal = {Nature (UK)},
   Volume = {405},
   Number = {6786},
   Pages = {567 - 71},
   Year = {2000},
   url = {http://dx.doi.org/10.1038/35014604},
   Keywords = {bioelectric potentials;biomechanics;brain;neurophysiology;},
   Abstract = {When an animal learns to make movements different stimuli,
             changes in activity in the motor cortex seem to accompany
             and underlie this learning. The precise nature of
             modifications in cortical motor areas during the initial
             stages of motor learning, however, is largely unknown. Here,
             the authors address this issue by chronically recording from
             neuronal ensembles located in the rat motor cortex,
             throughout the period required for rats to learn a
             reaction-time task. Motor learning was demonstrated by a
             decrease in the variance of the rats' reaction times and an
             increase in the time the animals were able to wait for a
             trigger stimulus. These behavioural changes were correlated
             with a significant increase in the authors' ability to
             predict the correct or incorrect outcome of single trials
             based on 3 measures of neuronal ensemble activity: average
             firing rate, temporal patterns of firing, and correlated
             firing. This increase in prediction indicates that an
             association between sensory cues and movement},
   Key = {6633289}
}

@article{6540993,
   Author = {Laubach, M. and Shuler, M. and Nicolelis,
             M.L.},
   Title = {Independent component analyses for quantifying neuronal
             ensemble interactions},
   Journal = {J. Neurosci. Methods (Netherlands)},
   Volume = {94},
   Number = {1},
   Pages = {141 - 54},
   Year = {1999},
   url = {http://dx.doi.org/10.1016/S0165-0270(99)00131-4},
   Keywords = {neurophysiology;principal component analysis;},
   Abstract = {The goal of this study was to compare how multivariate
             statistical methods for dimension reduction account for
             correlations between simultaneously recorded neurons. Here,
             the authors describe applications of principal component
             analysis (PCA) and independent component analysis (ICA)
             (Cardoso, J.-F., Souloumiac, A. IEE-Proc. F 1993; 140:
             362-70; Hyvarinen, A., Oja, E. Neural Comput 1997; 9:
             1483-92; Lee, T.W., et al. Neural Comp. 1999; 11: 417-41) to
             neuronal ensemble data. Simulated ensembles of neurons were
             used to compare how well the methods above could account for
             correlated neuronal firing. The simulations showed that
             `population vectors' defined by PCA were broadly distributed
             over the neuronal ensembles; thus, PCA was unable to
             identify independent groupings of neurons that shared common
             sources of input. By contrast, the ICA methods were all able
             to identify groupings of neurons that emerged due to
             correlated firing. This result suggests that correlated
             neuronal firing is reflected in higher-order correlations
             between neurons and not simply in the neurons' covariance.
             To assess the significance of these methods for real
             neuronal ensembles, the authors analyzed data from
             populations of neurons recorded in the motor cortex of rats
             trained to perform a reaction-time task. Scores for PCA and
             ICA were reconstructed on a bin-by-bin basis for single
             trials. These data were then used to train an artificial
             neural network to discriminate between single trials with
             either short or long reaction-times. Classifications based
             on scores from the ICA-based methods were significantly
             better than those based on PCA. For example, scores for
             components defined with an ICA-based method, extended ICA
             (Lee et al., 1999), classified more trials correctly
             (80.58&plusmn;1.25%) than PCA (73.14&plusmn;0.84%) for an
             ensemble of 26 neurons recorded in the motor cortex (ANOVA:
             P&lt;0.005). This result suggests that behaviorally relevant
             information is represented in correlated neuronal firing and
             can be best detected when higher-order correlations between
             neurons are taken into account},
   Key = {6540993}
}

@article{6533555,
   Author = {Chapin, J.K. and Nicolelis, M.A.L.},
   Title = {Principal component analysis of neuronal ensemble activity
             reveals multidimensional somatosensory representations},
   Journal = {J. Neurosci. Methods (Netherlands)},
   Volume = {94},
   Number = {1},
   Pages = {121 - 40},
   Year = {1999},
   url = {http://dx.doi.org/10.1016/S0165-0270(99)00130-2},
   Keywords = {cellular biophysics;neural nets;neurophysiology;principal
             component analysis;somatosensory phenomena;},
   Abstract = {Principal components analysis (PCA) was used to define the
             linearly dependent factors underlying sensory information
             processing in the vibrissal sensory area of the ventral
             posterior medial (VPM) thalamus in 8 awake rats. Ensembles
             of up to 23 single neurons were simultaneously recorded in
             this area, either during long periods of spontaneous
             behavior (including exploratory whisking) or controlled
             deflection of single whiskers. PCA rotated the matrices of
             correlation between these n neurons into a series of n
             uncorrelated principal components (PCs), each successive PC
             oriented to explain a maximum of the remaining variance. The
             fact that this transformation is mathematically equivalent
             to the general Hebb algorithm in linear neural networks
             provided a major rationale for performing it here on data
             from real neuronal ensembles. Typically, most information
             correlated across neurons in the ensemble was concentrated
             within the first 3-8 PCs. Each of these was found to encode
             distinct, and highly significant informational factors.
             These factor encodings were assessed in two ways, each
             making use of fact that each PC consisted of a matrix of
             weightings, one for each neuron. First, the neurons were
             rank ordered according to the locations of the central
             whiskers in their receptive fields, allowing their
             weightings within different PCs to be viewed as a function
             of their position within the whisker representation in the
             VPM. Each PC was found to define a distinctly different
             topographic mapping of the cutaneous surface. Next, the PCs
             were used to weight-sum the neurons' simultaneous activities
             to create population vectors (PVs). Each PV consisted of a
             single continuous time series which represented the
             expression of each PC's `magnitude' in response to
             stimulation of different whiskers, or during behavioral
             events such as active tactile whisking. These showed that
             each PC functioned as a feature detector capable of
             selectively predicting significant sensory or behavioral
             events with far greater statistical reliability than could
             any single neuron. The encoding characteristics of the first
             few PCs were remarkably consistent across all animals and
             experimental conditions, including both spontaneous
             exploration and direct sensory stimulation: PC1 positively
             weighted all neurons, mainly according to their covariance,
             Thus it encoded global magnitude of ensemble activity,
             caused either by combined sensory inputs or intrinsic
             network activity, such as spontaneous oscillations. PC2
             encoded spatial position contrast, generally in the
             rostrocaudal dimension, across the whole cutaneous surface
             represented by the ensemble. PC3 more selectively encoded
             contrast in an orthogonal (usually dorsoventral) dimension.
             A variable number of higher numbered PCs encoded local
             position contrast within one or more smaller regions of the
             cutaneous surface. The remaining PCs typically explained
             residual `noise', i.e. the uncorrelated variance that
             constituted a major part of each neuron's activity.
             Differences in behavioral or sensory experience produced
             relatively little in the PC weighting patterns but often
             changed the variance they explained (eigenvalues) enough to
             alter their ordering. These results argue that PCA provides
             a powerful set of tools for selectively measuring neural
             ensemble activity within multiple functionally significant
             `dimensions' of information processing. As such, it
             redefines the `neuron' as an entity which contributes
             portions of its variance to processing not one, but several
             tasks},
   Key = {6533555}
}

@article{97103891001,
   Author = {Faggin, B. M. and Nguyen, K. T. and Nicolelis, M. A.
             L.},
   Title = {Immediate and simultaneous sensory reorganization at
             cortical and subcortical levels of the somatosensory
             system},
   Journal = {Proceedings of the National Academy of Sciences of the
             United States of America},
   Volume = {94},
   Number = {17},
   Pages = {9428 -},
   Year = {1997},
   url = {http://dx.doi.org/10.1073/pnas.94.17.9428},
   Key = {97103891001}
}

@article{4984702,
   Author = {Nicolelis, M.A.L. and Baccala, L.A. and Lin, R.C.S. and Chapin, J.K.},
   Title = {Sensorimotor encoding by synchronous neural ensemble
             activity at multiple levels of the somatosensory
             system},
   Journal = {Science (USA)},
   Volume = {268},
   Number = {5215},
   Pages = {1353 - 8},
   Year = {1995},
   Keywords = {brain;mechanoception;neurophysiology;},
   Abstract = {Neural ensemble processing of sensorimotor information
             during behavior was investigated by simultaneously recording
             up to 48 single neurons at multiple relays of the rat
             trigeminal somatosensory system. Cortical, thalamic, and
             brainstem neurons exhibited widespread 7- to 10-hertz
             synchronous oscillations, which began during attentive
             immobility and reliably predicted the imminent onset of
             rhythmic whisker twitching. Each oscillatory cycle began as
             a traveling wave of neural activity in the cortex that then
             spread to the thalamus. Just before the onset of rhythmic
             whisker twitching, the oscillations spread to the spinal
             trigeminal brainstem complex. Thereafter, the oscillations
             at all levels were synchronous with whisker protraction.
             Neural structures manifesting these rhythms also exhibited
             distributed spatiotemporal patterns of neuronal ensemble
             activity in response to tactile stimulation. Thus,
             multilevel synchronous activity in this system may encode
             not only sensory information but also the onset and temporal
             domain of tactile exploratory movements},
   Key = {4984702}
}

@article{93051588763,
   Author = {Nicolelis, M.A.L. and Lin, R.C.S. and Woodward, D.J. and Chapin, J.K.},
   Title = {Induction of immediate spatiotemporal changes in thalamic
             networks by peripheral block of ascending cutaneous
             information},
   Journal = {Nature},
   Volume = {361},
   Number = {6412},
   Pages = {533 -},
   Year = {1993},
   url = {http://dx.doi.org/10.1038/361533a0},
   Key = {93051588763}
}

@article{91041073877,
   Author = {Sabin, A.B. and Beckwith, J. and Poritz, M.A. and Bernstein,
             H.D. and Walter, P. and Hardin, G. and Meier, P. and Hart,
             H. and Lin, C.-S. and Nicolelis, M.A.L. and Schneider, J.S. and Chapin, J.K. Jr.},
   Title = {Effectiveness of AIDS vaccines. 'Sequence-Gazing?'. Unus
             triginta et quoque anno?. Steroid therapy publication delay.
             Buckyballs and double bonds. GABAergic pathway from zona
             incerta to neocortex. Clarification},
   Journal = {Science},
   Volume = {251},
   Number = {4998},
   Pages = {1161 -},
   Year = {1991},
   Key = {91041073877}
}

@article{3878412,
   Author = {Baccala, L.A. and Nicolelis, M.A.L. and Chai-Hong Yu and Oshiro, M.},
   Title = {Structural analysis of neural circuits using the theory of
             directed graphs},
   Journal = {Comput. Biomed. Res. (USA)},
   Volume = {24},
   Number = {1},
   Pages = {7 - 28},
   Year = {1991},
   url = {http://dx.doi.org/10.1016/0010-4809(91)90010-T},
   Keywords = {directed graphs;neural nets;},
   Abstract = {A new approach to analysis of structural properties of
             biological neural circuits is proposed based on their
             representation in the form of abstract structures called
             directed graphs. To exemplify this methodology, structural
             properties of a biological neural network and randomly wired
             circuits (RC) were compared. The analyzed biological circuit
             (BC) represented a sample of 39 neural nuclei which are
             responsible for the control of the cardiovascular function
             in higher vertebrates. Initially, direct connections of both
             circuits were stored in a square matrix format. Then,
             standard algorithms derived from the theory of directed
             graphs were applied to analyze the pathways of the circuits
             according to their length (in number of synapses), degree of
             connectedness, and structural strength. Thus, the BC was
             characterized by the presence of short, reciprocal, and
             unidirectional pathways which presented a high degree of
             heterogeneity in their strengths. This heterogeneity was
             mainly due to the existence of a small cluster of
             reciprocally connected neural nuclei in the circuit that
             have access, through short pathways, to most of the
             network},
   Key = {3878412}
}

@article{3835485,
   Author = {Nicolelis, M.A.L. and Chia-Hong Yu and Baccala,
             L.A.},
   Title = {Structural characterization of the neural circuit
             responsible for control of cardiovascular functions in
             higher vertebrates},
   Journal = {Comput. Biol. Med. (UK)},
   Volume = {20},
   Number = {6},
   Pages = {379 - 400},
   Year = {1990},
   url = {http://dx.doi.org/10.1016/0010-4825(90)90019-L},
   Keywords = {cardiology;neural nets;neurophysiology;zoology;},
   Abstract = {A comparison of structural properties of a biological neural
             system responsible for cardiovascular function control in
             higher vertebrates with randomly connected networks was
             pursued using matrix representations of those circuits. The
             biological circuit was characterized by the presence of some
             heavily connected nuclei in contrast to the random networks
             that had equally distributed connections between their
             elements. This property of the analysed biological circuit
             was shown to account for a high logarithmic correlation
             found between two indexes defined to represent pointwise
             features of the nuclei and their global contribution to the
             whole network. The first index is obtained by the product of
             the number of inputs and of outputs of a nucleus and was
             called the power index (PI). The second one, called the
             occurrence index (OI), defines how many times a specific
             nucleus is crossed when all possible pathways joining two
             nuclei of the circuit are obtained. This PI-OI correlation
             was clearly dependent on the pathway length distribution
             (expressed in number of synapses), and was maximal
             considering pathways with a low number of synapses. When
             randomly connected circuits were analysed, lower correlation
             was found between the same two indexes and only for much
             longer pathways. Therefore, it is proposed that the analysis
             of the PI-OI correlation can be useful to quantify
             structural differences between biological neural circuits as
             distinguished from randomly connected networks and also
             between neural systems at different levels of phylogenetic
             and ontogenetic development},
   Key = {3835485}
}

@article{3616675,
   Author = {Nicolelis, M.A.L. and Tinone, G. and Sameshima, K. and Timo-Iaria, C. and Yu Chia Hong and Van de Bilt,
             M.T.},
   Title = {Connection, a microcomputer program for storing and
             analyzing structural properties of neural
             circuits},
   Journal = {Comput. Biomed. Res. (USA)},
   Volume = {23},
   Number = {1},
   Pages = {64 - 81},
   Year = {1990},
   url = {http://dx.doi.org/10.1016/0010-4809(90)90007-Y},
   Keywords = {biology computing;medical diagnostic computing;microcomputer
             applications;neurophysiology;},
   Abstract = {The application of a microcomputer-based system (the
             Connection system) designed to deal with neuroanatomical
             information commonly analyzed by researchers and involved in
             the study of structural properties of neural circuits is
             presented. This system can be employed at first as a
             readily-accessible database containing physiological and
             anatomical data from nuclei of the central nervous system
             which define a network with up to 45 elements and their
             subdivisions and connections. Once the database from a
             specific network is built and stored in a file, routines of
             this system can be used to classify the nuclei in terms of
             their afferents and efferents and also to display all
             possible pathways linking any pair of nuclei and their
             respective length (number of synapses). The role of such a
             system as an auxiliary tool in neuroanatomical and
             electrophysiological research is discussed by presenting the
             results obtained from the analysis of the neural circuits
             involved in cardiovascular function control in higher
             vertebrates},
   Key = {3616675}
}

@article{3706431,
   Author = {Yu Chia-Hong and Baccala, L.A. and Nicolelis,
             M.A.},
   Title = {Applying graph theory on a neural network responsible for
             the cardiovascular function control: a correlation between
             structural properties and physiological functions},
   Journal = {MEDINFO 89. Proceedings of the Sixth Conference on Medical
             Informatics},
   Pages = {87 - 91},
   Address = {Beijing, China and Singapore},
   Year = {1989},
   Keywords = {cardiology;graph theory;neural nets;neurophysiology;},
   Abstract = {A neural network responsible for the cardiovascular function
             control in high vertebrates represented by 40 neural nuclei
             and 162 direct connections between them, was analyzed by
             means of graph theory procedures. This quantitative
             structural analysis proved useful in forecasting the
             physiological role of each nucleus in the overall control
             process. New graph procedures were introduced, combining
             both pointwise and distributed features of the network and
             were successful in highlighting a set of neural nodes that
             play a crucial physiological role in maintaining blood
             pressure, heart rate and vasomotor tone},
   Key = {3706431}
}

@article{90096090667,
   Author = {Baccala, Luiz Antonio and Nicolelis, Miguel
             A.L.},
   Title = {Using computers to survey the epidemiological, environmental
             and genetic factors involved in the process of bacteria
             resistance acquisition},
   Journal = {Proceedings - Annual Symposium on Computer Applications in
             Medical Care},
   Pages = {261 - 265},
   Address = {Washington, DC, USA},
   Year = {1989},
   Keywords = {Statistical Methods--Time Series Analysis;Computer Aided
             Analysis--Medical Applications;Genetic Engineering;Information
             Theory;Spectrum Analysis;},
   Abstract = {The sensitivity behaviors in time of several species (S.
             aureus, E. coli, K. pneumoniae, and P. mirabilis in a total
             of 16,334 positive cultures collected at the authors'
             hospital from July 1981 to December 1986) to amikacin and
             gentamicin are shown to be periodic. The implications of
             this finding and parameters, both epidemiological and
             genetic, that might be of relevance in its understanding are
             discussed as being necessary characteristics of a nosocomial
             survey-and-control computer system in which time-series
             analysis techniques are of central importance.},
   Key = {90096090667}
}

@article{3327494,
   Author = {Lage, S.G. and Gutierrez, M.A. and Nicolelis, M.A.L. and Furuie, S.S.},
   Title = {A bedside computerized system for monitoring and processing
             of biological signals in intensive care units},
   Journal = {Computers in Cardiology (Cat. No.87CH2544-5)},
   Pages = {561 - 4},
   Address = {Leuven, Belgium},
   Year = {1988},
   Keywords = {computerised monitoring;computerised signal
             processing;medical computing;patient care;patient
             monitoring;},
   Abstract = {A description is given of the application of a generic
             bedside system, developed using an IBM-PC compatible, with
             the aim of getting essential biological signals to perform a
             complete cardiovascular function analysis. Six cardiac
             patients with critical heart failure impaired by arrhythmia,
             infection, pulmonary embolism and myocardial infarction were
             monitored through: (a) ECG; (b) VCG; (c) hemodynamic data
             (right atrial pressure, pulmonary arterial pressure,
             pulmonary wedge pressure, systemic pressure); (d) cardiac
             output (thermodilution and thoracic electrical
             bioimpedance); (e) <i>dZ</i>/<i>dt</i> of TEB. These signals
             were stored and processed to furnish the
             electrical-hemodynamic coupling correlation. As a control,
             the results of the cardiac output calculated by TEB were
             compared to the thermodilution method. The
             <i>dZ</i>/<i>dt</i> wave together with the ECG and
             hemodynamic signals allowed continuous determination of the
             pre-ejection period, ventricular ejection time,
             isovolumetric relaxation, time and ventricular filling
             period. The system also permitted several devices to be
             interfaced to the microcomputer, a better therapeutic
             approach for critical patients, as well as providing data
             for medical education and research},
   Key = {3327494}
}

@article{3305485,
   Author = {Gutierrez, M.A. and Furuie, S.S. and Nicolelis, M.A.L. and Lage, S.},
   Title = {Developing a multi-purpose microcomputer-based system for
             biological signal analysis for cardiovascular
             protocols},
   Journal = {Computers in Cardiology (Cat. No.87CH2544-5)},
   Pages = {505 - 8},
   Address = {Leuven, Belgium},
   Year = {1988},
   Keywords = {cardiology;computerised signal processing;medical diagnostic
             computing;microcomputer applications;},
   Abstract = {A description is given of the development of a general
             microcomputer-based system to perform biological signal
             processing concerning clinical and experimental protocols in
             cardiology. In intensive care units the software of this
             system enabled the clinical staff to acquire several signals
             simultaneously (such as cardiac chamber pressures, arterial
             pressure, respiratory flow, ECG, and EEG) and to interface
             an IBM PC compatible with other devices (for example a
             thoracic electrical bioimpedance system) which can furnish
             important ventricular stroke volume measurements. On the
             other hand, in experimental protocols, where the
             relationship between the latter signals with action
             potentials from peripheral nerves was investigated, it was
             necessary to design a window discriminator (WD) that allowed
             the study of point processes related to the neural control
             of the cardiovascular system. This WD was connected to the
             microcomputer through a parallel interface with minor
             modifications. The software was divided into modules. To
             evaluate the signals after acquisition several basic
             routines are available (smoothing, statistical and spectral
             procedures)},
   Key = {3305485}
}

@article{89095041155,
   Author = {Nicolelis, Miguel A.L. and Yu, Chia-Hong},
   Title = {Defining criteria for quantitative analysis of the neural
             network responsible for the cardiovascular function control
             by means of a microcomputer system},
   Journal = {Proceedings - Annual Symposium on Computer Applications in
             Medical Care},
   Pages = {256 - 260},
   Address = {Washington, DC, USA},
   Year = {1988},
   Keywords = {Computer Software--Medical Applications;Systems Science and
             Cybernetics--Neural Nets;Computers, Microcomputer--Medical
             Applications;},
   Abstract = {Software designed to deal with information from pathways
             connecting nuclei of the central nervous system was used to
             study the neural network related to the cardiovascular
             control in high vertebrates. The 39 most-cited nuclei in the
             literature and 123 links between pairs of nuclei were
             considered. Four anatomical indexes were tested as
             quantitative parameters of the network. The power index,
             which is the product of the inputs and outputs of a nucleus,
             was the best in selecting a small set of structures of this
             network. This set turned to be the major cluster of nuclei
             involved in the neural control of the cardiovascular
             function as described in the literature. This index was also
             an estimator of the nucleus participation in nuclei. These
             results suggest a close relationship between anatomical
             properties and physiological function of the nuclei involved
             in this network.},
   Key = {89095041155}
}

@article{3222798,
   Author = {Nicolelis, M.A.L. and Yu Chia Hong},
   Title = {Applications of a microcomputer-based system in the analysis
             of infection data at the emergency units of a large
             hospital},
   Journal = {Int. J. Bio-Med. Comput. (Netherlands)},
   Volume = {22},
   Number = {3-4},
   Pages = {183 - 98},
   Year = {1988},
   Keywords = {data analysis;medical administrative data processing;medical
             computing;microcomputer applications;surgery;},
   Abstract = {After three years of retrospective study in four emergency
             units from a large hospital and analysis of 6283 positive
             cultures, a microcomputer database system was built to store
             information concerning nosocomial infections in order to
             help the clinical staff from those units to study the
             incidence of 20 bacterial species and their sensitivity
             pattern evolutions for 27 antibiotics. This system was
             developed as an alternative to the hospital mainframe
             computer microbiological reports. It put emphasis on
             graphical outputs instead of the coded tables generated by
             the bigger system. This orientation and the possibility of
             sectorial infection data analysis were responsible for the
             general acceptance of the microcomputer-based system by the
             clinical staff. As the first practical results, the system
             was able to detect a particular increase in the incidence of
             Staphylococcus aureus in surgical emergency units as well as
             the dissemination of the antimicrobial resistance patterns
             of S. aureus and Klebsiella pneumoniae from the surgical
             units to the clinical ones. The time evolution behaviour of
             Pseudomonas aeruginosa, Escherichia coli and other
             nonfermentative Gram negative bacilli was also studied to
             complete the analysis of the most pathogenic bacterial
             species found in the emergency units},
   Key = {3222798}
}

@article{89044190294,
   Author = {Gutierrez, M.A. and Furuie, S.S. and Nicolelis, M.A.L. and Lage, S.},
   Title = {Developing a multi-purpose microcomputer-based system for
             biological signal analysis for cardiovascular
             protocols},
   Journal = {Computers in Cardiology},
   Pages = {505 - 508},
   Address = {Louvain-La-Neuve, Belg},
   Year = {1987},
   Keywords = {COMPUTER AIDED ANALYSIS -- Medical Applications;HOSPITALS --
             Intensive Care Units;WAVEFORM ANALYSIS;},
   Abstract = {A description is given of the development of a general
             microcomputer-based system to perform biological signal
             processing concerning clinical and experimental protocols in
             cardiology. At intensive care units the software of this
             system enabled the clinical staff to acquire several signals
             simultaneously, like the cardiac chamber pressures, arterial
             pressure, respiratory flow, ECG, and EEC, and to interface
             an IBM PC compatible with other devices (like thoracic
             electrical bioimpedance) which can furnish important
             ventricular stroke volume mesurements. On the other hand, in
             experimental protocols, where the relationship between the
             latter signals with action potentials from peripherical
             nerves was pursued, it was necessary to design a window
             discriminator (WD) that allowed the study of point processes
             related to the neural control of the cardiovascular system.
             This WD was connected to the microcomputer through the
             parallel interface which suffered minor modifications. The
             software was divided in modules. To evaluate the signals
             after acquisition several basic routines are available
             (smoothing, statistical and spectral procedures).},
   Key = {89044190294}
}

@article{3361609,
   Author = {Nicolelis, M.A.L. and Sameshima, K. and Furuie, S.S. and Gutierrez, M.A.},
   Title = {Signal processing system to analyze the neural control on
             the cardiovascular function},
   Journal = {EFMI - European Federation for Medical Informatics Medical
             Informatics Europe '87. Proceedings of the Seventh
             International Congress},
   Pages = {1318 - 22},
   Address = {Rome, Italy},
   Year = {1987},
   Keywords = {biocontrol;cardiology;computerised signal
             processing;microcomputer applications;neurophysiology;},
   Abstract = {The study of the neural control on the cardiovascular
             function involves the analysis of multiple servomechanisms
             with different integration levels in the central nervous
             system (1). The input branches of these servomechanisms are
             represented by several types of sensors distributed around
             the cardiovascular system. To observe the patterns of the
             sensor activity together with the signals provided by the
             result of the servomechanism effector branch action
             (hemodynamic and ECG traces) it was necessary to develop a
             system which could sample signals in a broad spectral range.
             Describes a microcomputer based system to perform this task,
             enabling the user to acquire and analyze on the whole the
             signals that are related to the cardiovascular control
             process. The hardware (PC/XT and LYNX ADC) and software are
             briefly described along with experimental
             results},
   Key = {3361609}
}

@article{89044190309,
   Author = {Lage, S.G. and Gutierrez, M.A. and Nicolelis, M.A.L. and Furuie, S.S.},
   Title = {Bedside computerized system for monitoring and processing of
             biological signals in intensive care units},
   Journal = {Computers in Cardiology},
   Pages = {561 - 564},
   Address = {Louvain-La-Neuve, Belg},
   Year = {1987},
   Keywords = {BIOMEDICAL ENGINEERING -- Patient Monitoring;SIGNAL
             PROCESSING -- Digital Techniques;WAVEFORM ANALYSIS;COMPUTER
             AIDED ANALYSIS;},
   Abstract = {A description is given of the application of a generic
             bedside system, developed using an IBM-PC compatible, with
             the aim of getting essential biological signals to perform a
             complete cardiovascular function analysis. Six cardiac
             patients with critical heart failure impaired by arrhythmia,
             infection, pulmonary embolism and myocardial infarction were
             monitored through: (a) ECG; (b) VCG; (c) hemodynamic data
             (right atrial pressure, pulmonary arterial pressure,
             pulmonary wedge pressure, systemic pressure); (d) cardiac
             output (thermodilution and thoracic electrical
             bioimpedance); (e) dZ/dt of TEB. These signals were stored
             and processed to furnish the electrical-hemodynamic coupling
             correlation. As a control, the results of the cardiac output
             calculated by TEB were compared to the thermodilution
             method. The dZ/dt wave together with the ECG and hemodynamic
             signals allowed continuous determination of the pre-ejection
             period, ventricular ejection time, isovolumetric relaxation,
             time and ventricular filling period. The system also
             permitted several devices to be interfaced to the
             microcomputer, a better therapeutic approach for critical
             patients, as well as providing data for medical education
             and research.},
   Key = {89044190309}
}

@article{2959216,
   Author = {Massad, E. and Engel, A.B. and Nicolelis,
             M.A.L.},
   Title = {A mathematical model for spirometry},
   Journal = {Comput. Biomed. Res. (USA)},
   Volume = {20},
   Number = {2},
   Pages = {105 - 12},
   Year = {1987},
   url = {http://dx.doi.org/10.1016/0010-4809(87)90038-3},
   Keywords = {medical computing;microcomputer applications;physiological
             models;pneumodynamics;},
   Abstract = {A model originally designed to fit population growth data
             was investigated to determine whether it could fit
             spirometric traces as a function of time in normal and ill
             humans and in normal rats, obtained, respectively, by
             spirometer and whole-body plethysmography. The model showed
             great accuracy when applied to a simple spirometer coupled
             with an analog-to-digital converter interfaced with a
             personal computer. It also proved to be a good alternative
             for the more expensive and less accurate electronic devices,
             as derivative systems, and may be an attractive method for
             research and/or diagnostic centers},
   Key = {2959216}
}

@article{2602199,
   Author = {Massad, E. and Furuie, S.S. and de Assis Moura and L., Jr. and Nascimento Saldiva and P.H. and Nicolelis, M.A. and Bohm,
             G.M.},
   Title = {The use of a personal computer in the pulmonary function
             tests of laboratory rats},
   Journal = {Methods Inf. Med. (West Germany)},
   Volume = {24},
   Number = {4},
   Pages = {197 - 9},
   Year = {1985},
   Keywords = {analogue-digital conversion;Apple computers;biology
             computing;microcomputer applications;pneumodynamics;},
   Abstract = {A system consisting of an 8-bit word microcomputer of the
             APPLE line equipped with an analog-to-digital converter,
             connected to a physiograph measuring pressures from a whole
             body plethysmograph, was used to perform pulmonary tests in
             rats. The system proved to be time-saving without loss of
             accuracy when compared to manual calculation methods. It
             allows measurement repetition during the same experiment,
             which is impossible by manual techniques, and permits to
             obtain flow/volume relationships without pneumotachographs
             or integrator and/or differentiator modules. This approach
             may be applied to humans and used by any
             physician},
   Key = {2602199}
}

@article{7951637,
   Author = {Wiest, M.C. and Nicolelis, M.A.L.},
   Title = {Behavioral detection of tactile stimuli during 7-12 Hz
             cortical oscillations in awake rats},
   Journal = {Nat. Neurosci. (USA)},
   Volume = {6},
   Number = {9},
   Pages = {913 - 14},
   url = {http://dx.doi.org/10.1038/nn1107},
   Keywords = {bioelectric potentials;biological techniques;brain;microelectrodes;neurophysiology;touch
             (physiological);},
   Abstract = {Prominent 7-12 Hz oscillations in the primary somatosensory
             cortex (S1) of awake but immobile rats might represent a
             seizure-like state1 in which neuronal burst firing renders
             animals unresponsive to incoming tactile stimuli; others
             have proposed that these oscillations are analogous to human
             &mu; rhythm. To test whether rats can respond to tactile
             stimuli during 7-12 Hz oscillatory activity, we trained
             head-immobilized awake animals to indicate whether they
             could detect the occurrence of transient whisker deflections
             while we recorded local field potentials (LFPs) from
             microelectrode arrays implanted bilaterally in the S1
             whisker representation area. They responded rapidly and
             reliably, suggesting that this brain rhythm represents
             normal physiological activity that does not preclude
             perception},
   Key = {7951637}
}