Title :
Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex
Author :
Tarigoppula, Aditya ; Rotella, Nicholas ; Francis, Joseph T.
Author_Institution :
Dept. of Physiol. & Pharmacology, SUNY Downstate Med. Center, Brooklyn, NY, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
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.
Keywords :
brain; brain-computer interfaces; learning (artificial intelligence); medical disorders; neurophysiology; brain machine interface; motor-impaired patients; reinforcement learning based decoder; simulated motor cortex; temporal difference reinforcement learning; Biological system modeling; Decoding; Neurons; Noise; Noise measurement; Tuning; Brain-Computer Interfaces; Learning; Motor Cortex; Neurons; Signal-To-Noise Ratio;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346666
