Literature DB >> 23366627

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

Aditya Tarigoppula1, Nick Rotella, Joseph T Francis.   

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.

Mesh：

Year:  2012        PMID： 23366627     DOI： 10.1109/EMBC.2012.6346666

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN： 1557-170X


  4 in total

1.  Reward Expectation Modulates Local Field Potentials, Spiking Activity and Spike-Field Coherence in the Primary Motor Cortex.

Authors:  Junmo An; Taruna Yadav; John P Hessburg; Joseph T Francis
Journal:  eNeuro       Date:  2019-06-26

Review 2.  Neural Decoders Using Reinforcement Learning in Brain Machine Interfaces: A Technical Review.

Authors:  Benton Girdler; William Caldbeck; Jihye Bae
Journal:  Front Syst Neurosci       Date:  2022-08-26

3.  Towards a naturalistic brain-machine interface: hybrid torque and position control allows generalization to novel dynamics.

Authors:  Pratik Y Chhatbar; Joseph T Francis
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

4.  Use of frontal lobe hemodynamics as reinforcement signals to an adaptive controller.

Authors:  Marcello M DiStasio; Joseph T Francis
Journal:  PLoS One       Date:  2013-07-22       Impact factor: 3.240
  4 in total

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