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Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex

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3 Author(s)
Aditya Tarigoppula ; Department of Physiology and Pharmacology, SUNY Downstate Medical Center, Brooklyn, 450 Clarkson Av, Box# 31, NY 11203, USA ; Nick Rotella ; Joseph T. Francis

Our overall goal is to develop a reinforcement learning (RL) based decoder for brain machine interfaces. As an important step in this process, we determine the basic stability and convergence properties of a Temporal Difference (TD) RL architecture being driven by a simulated motor cortex.

Published in:

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 28 2012-Sept. 1 2012