Making brain–machine interfaces robust to future neural variability

Brain-machine interfaces (BMI) depend on algorithms to decode neural signals, but these decoders cope poorly with signal variability. Here, authors report a BMI decoder which circumvents these problems by using a large and perturbed training dataset to improve performance with variable neural signal...

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Autores principales:	David Sussillo, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1278009750394d229b95e0a81331168b
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id	oai:doaj.org-article:1278009750394d229b95e0a81331168b
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spelling	oai:doaj.org-article:1278009750394d229b95e0a81331168b2021-12-02T16:57:18ZMaking brain–machine interfaces robust to future neural variability10.1038/ncomms137492041-1723https://doaj.org/article/1278009750394d229b95e0a81331168b2016-12-01T00:00:00Zhttps://doi.org/10.1038/ncomms13749https://doaj.org/toc/2041-1723Brain-machine interfaces (BMI) depend on algorithms to decode neural signals, but these decoders cope poorly with signal variability. Here, authors report a BMI decoder which circumvents these problems by using a large and perturbed training dataset to improve performance with variable neural signals.David SussilloSergey D. StaviskyJonathan C. KaoStephen I. RyuKrishna V. ShenoyNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q David Sussillo Sergey D. Stavisky Jonathan C. Kao Stephen I. Ryu Krishna V. Shenoy Making brain–machine interfaces robust to future neural variability
description	Brain-machine interfaces (BMI) depend on algorithms to decode neural signals, but these decoders cope poorly with signal variability. Here, authors report a BMI decoder which circumvents these problems by using a large and perturbed training dataset to improve performance with variable neural signals.
format	article
author	David Sussillo Sergey D. Stavisky Jonathan C. Kao Stephen I. Ryu Krishna V. Shenoy
author_facet	David Sussillo Sergey D. Stavisky Jonathan C. Kao Stephen I. Ryu Krishna V. Shenoy
author_sort	David Sussillo
title	Making brain–machine interfaces robust to future neural variability
title_short	Making brain–machine interfaces robust to future neural variability
title_full	Making brain–machine interfaces robust to future neural variability
title_fullStr	Making brain–machine interfaces robust to future neural variability
title_full_unstemmed	Making brain–machine interfaces robust to future neural variability
title_sort	making brain–machine interfaces robust to future neural variability
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/1278009750394d229b95e0a81331168b
work_keys_str_mv	AT davidsussillo makingbrainmachineinterfacesrobusttofutureneuralvariability AT sergeydstavisky makingbrainmachineinterfacesrobusttofutureneuralvariability AT jonathanckao makingbrainmachineinterfacesrobusttofutureneuralvariability AT stepheniryu makingbrainmachineinterfacesrobusttofutureneuralvariability AT krishnavshenoy makingbrainmachineinterfacesrobusttofutureneuralvariability
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Making brain–machine interfaces robust to future neural variability

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