Papers Published

1. Sung-Phil Kim and Sanchez, J.C. and Erdogmus, D. and Rao, Y.N. and Principe, J.C. and Nicolelis, M., Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP, Proceedings of the International Joint Conference on Neural Networks 2003 (Cat.No.03CH37464), vol. vol.1 (2003), pp. 66 - 70 [IJCNN.2003.1223293] .
   (last updated on 2007/04/15)

   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

   Keywords:
   biomechanics;brain models;handicapped aids;multilayer perceptrons;neuromuscular stimulation;position control;Wiener filters;