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Publications [#338052] of Warren H. Meck

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Journal Articles

  1. Petter, EA; Gershman, SJ; Meck, WH (2018). Integrating Models of Interval Timing and Reinforcement Learning.. Trends in Cognitive Sciences, 22(10), 911-922. [doi]
    (last updated on 2019/04/19)

    We present an integrated view of interval timing and reinforcement learning (RL) in the brain. The computational goal of RL is to maximize future rewards, and this depends crucially on a representation of time. Different RL systems in the brain process time in distinct ways. A model-based system learns 'what happens when', employing this internal model to generate action plans, while a model-free system learns to predict reward directly from a set of temporal basis functions. We describe how these systems are subserved by a computational division of labor between several brain regions, with a focus on the basal ganglia and the hippocampus, as well as how these regions are influenced by the neuromodulator dopamine.

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