Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex

Working memory (WM) is represented in persistent activity of single neurons as well as a dynamic population code. Here, the authors find that neurons flexibly switch their coding according to current attention while those with stable resting activity maintain WM representations through dynamic activ...

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Autores principales:	Sean E. Cavanagh, John P. Towers, Joni D. Wallis, Laurence T. Hunt, Steven W. Kennerley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/50c0c609f6db4393a1fce626ee7bb8ea
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spelling	oai:doaj.org-article:50c0c609f6db4393a1fce626ee7bb8ea2021-12-02T15:34:43ZReconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex10.1038/s41467-018-05873-32041-1723https://doaj.org/article/50c0c609f6db4393a1fce626ee7bb8ea2018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05873-3https://doaj.org/toc/2041-1723Working memory (WM) is represented in persistent activity of single neurons as well as a dynamic population code. Here, the authors find that neurons flexibly switch their coding according to current attention while those with stable resting activity maintain WM representations through dynamic activity patterns.Sean E. CavanaghJohn P. TowersJoni D. WallisLaurence T. HuntSteven W. KennerleyNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sean E. Cavanagh John P. Towers Joni D. Wallis Laurence T. Hunt Steven W. Kennerley Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
description	Working memory (WM) is represented in persistent activity of single neurons as well as a dynamic population code. Here, the authors find that neurons flexibly switch their coding according to current attention while those with stable resting activity maintain WM representations through dynamic activity patterns.
format	article
author	Sean E. Cavanagh John P. Towers Joni D. Wallis Laurence T. Hunt Steven W. Kennerley
author_facet	Sean E. Cavanagh John P. Towers Joni D. Wallis Laurence T. Hunt Steven W. Kennerley
author_sort	Sean E. Cavanagh
title	Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
title_short	Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
title_full	Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
title_fullStr	Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
title_full_unstemmed	Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
title_sort	reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/50c0c609f6db4393a1fce626ee7bb8ea
work_keys_str_mv	AT seanecavanagh reconcilingpersistentanddynamichypothesesofworkingmemorycodinginprefrontalcortex AT johnptowers reconcilingpersistentanddynamichypothesesofworkingmemorycodinginprefrontalcortex AT jonidwallis reconcilingpersistentanddynamichypothesesofworkingmemorycodinginprefrontalcortex AT laurencethunt reconcilingpersistentanddynamichypothesesofworkingmemorycodinginprefrontalcortex AT stevenwkennerley reconcilingpersistentanddynamichypothesesofworkingmemorycodinginprefrontalcortex
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Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex

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