Neural decoding systems using Markov Decision Processes

Henrique Dantas; V. John Mathews; Suzanne M. Wendelken; Tyler S. Davis; Gregory A. Clark; David J. Warren

ICASSP 2017accepted0 citations

Neural decoding systems using Markov Decision Processes

Henrique Dantas, V. John Mathews, Suzanne M. Wendelken, Tyler S. Davis, Gregory A. Clark, David J. Warren

Abstract

This paper presents a framework for modeling neural decoding using electromyogram (EMG) and electrocorticogram (ECoG) signals to interpret human intent and control prosthetic arms. Specifically, the method of this paper employs Markov Decision Processes (MDP) for neural decoding, parameterizing the policy using an artificial neural network. The system is trained using a modification of the Dataset Aggregation (DAgger) algorithm. The results presented here suggest that the approach of the paper performs better than the state-of-the-art.

BibTeX

@inproceedings{icassp2017_neuraldecodingsy,
  title = {Neural decoding systems using Markov Decision Processes},
  author = {Henrique Dantas and V. John Mathews and Suzanne M. Wendelken and Tyler S. Davis and Gregory A. Clark and David J. Warren},
  booktitle = {ICASSP 2017},
  year = {2017}
}