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Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems

Brain-machine interface (BMI) research assumes that patients with disconnected neural pathways could naturally control a prosthetic device by volitionally modulating sensorimotor cortical activity usually responsible for movement coordination. However, computational approaches to motor control chall...

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Detalles Bibliográficos
Autores principales: Galán, Ferran, Baker, Stuart N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4505102/
https://www.ncbi.nlm.nih.gov/pubmed/26236210
http://dx.doi.org/10.3389/fnbeh.2015.00186
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author Galán, Ferran
Baker, Stuart N.
author_facet Galán, Ferran
Baker, Stuart N.
author_sort Galán, Ferran
collection PubMed
description Brain-machine interface (BMI) research assumes that patients with disconnected neural pathways could naturally control a prosthetic device by volitionally modulating sensorimotor cortical activity usually responsible for movement coordination. However, computational approaches to motor control challenge this view. This article examines the predictions of optimal feedback control (OFC) theory on the effects that loss of motor output and sensory feedback have on the normal generation of motor commands. Example simulations of unimpaired, totally disconnected, and deafferented controllers illustrate that by neglecting the dynamic interplay between motor commands, state estimation, feedback and behavior, current BMI systems face translational challenges rooted in a debatable assumption and experimental models of limited validity.
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spelling pubmed-45051022015-07-31 Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems Galán, Ferran Baker, Stuart N. Front Behav Neurosci Neuroscience Brain-machine interface (BMI) research assumes that patients with disconnected neural pathways could naturally control a prosthetic device by volitionally modulating sensorimotor cortical activity usually responsible for movement coordination. However, computational approaches to motor control challenge this view. This article examines the predictions of optimal feedback control (OFC) theory on the effects that loss of motor output and sensory feedback have on the normal generation of motor commands. Example simulations of unimpaired, totally disconnected, and deafferented controllers illustrate that by neglecting the dynamic interplay between motor commands, state estimation, feedback and behavior, current BMI systems face translational challenges rooted in a debatable assumption and experimental models of limited validity. Frontiers Media S.A. 2015-07-17 /pmc/articles/PMC4505102/ /pubmed/26236210 http://dx.doi.org/10.3389/fnbeh.2015.00186 Text en Copyright © 2015 Galán and Baker. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Galán, Ferran
Baker, Stuart N.
Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title_full Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title_fullStr Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title_full_unstemmed Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title_short Deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
title_sort deafferented controllers: a fundamental failure mechanism in cortical neuroprosthetic systems
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4505102/
https://www.ncbi.nlm.nih.gov/pubmed/26236210
http://dx.doi.org/10.3389/fnbeh.2015.00186
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