Conference Proceedings

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

Aditya Tarigoppula, Nick Rotella, Joseph T Francis

Annu Int Conf IEEE Eng Med Biol Soc | IEEE | Published : 2012

DOI: 10.1109/EMBC.2012.6346666

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.

University of Melbourne Researchers

Citation metrics

9Dimensions

Keywords

Brain-Computer Interfaces
Motor Cortex
Signal-To-Noise Ratio
Learning
Neurons