Revealing nonlinear neural decoding by analyzing choices

Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. Here, the authors present a theoretical framework for quantifying how the brain uses or decodes its nonlinear information which indicates near-optimal nonlinear decoding.

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Detalles Bibliográficos
Autores principales:	Qianli Yang, Edgar Walker, R. James Cotton, Andreas S. Tolias, Xaq Pitkow
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8a6c8800814c4391be68ee95e74e47af
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spelling	oai:doaj.org-article:8a6c8800814c4391be68ee95e74e47af2021-11-21T12:35:46ZRevealing nonlinear neural decoding by analyzing choices10.1038/s41467-021-26793-92041-1723https://doaj.org/article/8a6c8800814c4391be68ee95e74e47af2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26793-9https://doaj.org/toc/2041-1723Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. Here, the authors present a theoretical framework for quantifying how the brain uses or decodes its nonlinear information which indicates near-optimal nonlinear decoding.Qianli YangEdgar WalkerR. James CottonAndreas S. ToliasXaq PitkowNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Qianli Yang Edgar Walker R. James Cotton Andreas S. Tolias Xaq Pitkow Revealing nonlinear neural decoding by analyzing choices
description	Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. Here, the authors present a theoretical framework for quantifying how the brain uses or decodes its nonlinear information which indicates near-optimal nonlinear decoding.
format	article
author	Qianli Yang Edgar Walker R. James Cotton Andreas S. Tolias Xaq Pitkow
author_facet	Qianli Yang Edgar Walker R. James Cotton Andreas S. Tolias Xaq Pitkow
author_sort	Qianli Yang
title	Revealing nonlinear neural decoding by analyzing choices
title_short	Revealing nonlinear neural decoding by analyzing choices
title_full	Revealing nonlinear neural decoding by analyzing choices
title_fullStr	Revealing nonlinear neural decoding by analyzing choices
title_full_unstemmed	Revealing nonlinear neural decoding by analyzing choices
title_sort	revealing nonlinear neural decoding by analyzing choices
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8a6c8800814c4391be68ee95e74e47af
work_keys_str_mv	AT qianliyang revealingnonlinearneuraldecodingbyanalyzingchoices AT edgarwalker revealingnonlinearneuraldecodingbyanalyzingchoices AT rjamescotton revealingnonlinearneuraldecodingbyanalyzingchoices AT andreasstolias revealingnonlinearneuraldecodingbyanalyzingchoices AT xaqpitkow revealingnonlinearneuraldecodingbyanalyzingchoices
_version_	1718418896511303680

Revealing nonlinear neural decoding by analyzing choices

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