Scaling of sensory information in large neural populations shows signatures of information-limiting correlations

How is information distributed across large neuronal populations within a given brain area? Information may be distributed roughly evenly across neuronal populations, so that total information scales linearly with the number of recorded neurons. Alternatively, the neural code might be highly redunda...

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Autores: Kafashan, MohammadMehdi, Jaffe, Anna W., Chettih, Selmaan N., Nogueira, Ramon, Arandía Romero, Iñigo, Harvey, Christopher D., Moreno Bote, Rubén, Drugowitsch, Jan
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/46699
Acesso em linha:http://hdl.handle.net/10230/46699
http://dx.doi.org/10.1038/s41467-020-20722-y
Access Level:acceso abierto
Palavra-chave:Mice, Inbred C57BL
Noise
Photic Stimulation
Visual Cortex
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spelling Scaling of sensory information in large neural populations shows signatures of information-limiting correlationsKafashan, MohammadMehdiJaffe, Anna W.Chettih, Selmaan N.Nogueira, RamonArandía Romero, IñigoHarvey, Christopher D.Moreno Bote, RubénDrugowitsch, JanMice, Inbred C57BLNoisePhotic StimulationVisual CortexHow is information distributed across large neuronal populations within a given brain area? Information may be distributed roughly evenly across neuronal populations, so that total information scales linearly with the number of recorded neurons. Alternatively, the neural code might be highly redundant, meaning that total information saturates. Here we investigate how sensory information about the direction of a moving visual stimulus is distributed across hundreds of simultaneously recorded neurons in mouse primary visual cortex. We show that information scales sublinearly due to correlated noise in these populations. We compartmentalized noise correlations into information-limiting and nonlimiting components, then extrapolate to predict how information grows with even larger neural populations. We predict that tens of thousands of neurons encode 95% of the information about visual stimulus direction, much less than the number of neurons in primary visual cortex. These findings suggest that the brain uses a widely distributed, but nonetheless redundant code that supports recovering most sensory information from smaller subpopulations.We would like to thank Alexandre Pouget, Peter Latham, and members of the HMS Neurobiology Department for useful discussions and feedback on the work, and Rachel Wilson and Richard Born for comments on early versions of the manuscript. The work was supported by a scholar award from the James S. McDonnell Foundation (grant# 220020462 to J.D.), grants from the NIH (R01MH115554 to J.D.; R01MH107620 to C.D.H.; R01NS089521 to C.D.H.; R01NS108410 to C.D.H.; F31EY031562 to A.W.J.), the NSF’s NeuroNex program (DBI-1707398. to R.N.), MINECO (Spain; BFU2017-85936-P to R.M.-B.), the Howard Hughes Medical Institute (HHMI, ref 55008742 to R.M.-B.), the ICREA Academia (2016 to R.M.-B.), the Government of Aragon (Spain; ISAAC lab, cod T33 17D to I.A.-R.), the Spanish Ministry of Economy and Competitiveness (TIN2016-80347-R to I.A.-R.), the Gatsby Charitable Foundation (to R.N.), and an NSF Graduate Research Fellowship (to A.W.J.).Nature Research202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/46699http://dx.doi.org/10.1038/s41467-020-20722-yreponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésNat Commun. 2021 Jan 20;12(1):473info:eu-repo/grantAgreement/ES/2PE/BFU2017-85936-Pinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-80347-R© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/466992026-05-29T05:05:01Z
dc.title.none.fl_str_mv Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
title Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
spellingShingle Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
Kafashan, MohammadMehdi
Mice, Inbred C57BL
Noise
Photic Stimulation
Visual Cortex
title_short Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
title_full Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
title_fullStr Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
title_full_unstemmed Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
title_sort Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
dc.creator.none.fl_str_mv Kafashan, MohammadMehdi
Jaffe, Anna W.
Chettih, Selmaan N.
Nogueira, Ramon
Arandía Romero, Iñigo
Harvey, Christopher D.
Moreno Bote, Rubén
Drugowitsch, Jan
author Kafashan, MohammadMehdi
author_facet Kafashan, MohammadMehdi
Jaffe, Anna W.
Chettih, Selmaan N.
Nogueira, Ramon
Arandía Romero, Iñigo
Harvey, Christopher D.
Moreno Bote, Rubén
Drugowitsch, Jan
author_role author
author2 Jaffe, Anna W.
Chettih, Selmaan N.
Nogueira, Ramon
Arandía Romero, Iñigo
Harvey, Christopher D.
Moreno Bote, Rubén
Drugowitsch, Jan
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Mice, Inbred C57BL
Noise
Photic Stimulation
Visual Cortex
topic Mice, Inbred C57BL
Noise
Photic Stimulation
Visual Cortex
description How is information distributed across large neuronal populations within a given brain area? Information may be distributed roughly evenly across neuronal populations, so that total information scales linearly with the number of recorded neurons. Alternatively, the neural code might be highly redundant, meaning that total information saturates. Here we investigate how sensory information about the direction of a moving visual stimulus is distributed across hundreds of simultaneously recorded neurons in mouse primary visual cortex. We show that information scales sublinearly due to correlated noise in these populations. We compartmentalized noise correlations into information-limiting and nonlimiting components, then extrapolate to predict how information grows with even larger neural populations. We predict that tens of thousands of neurons encode 95% of the information about visual stimulus direction, much less than the number of neurons in primary visual cortex. These findings suggest that the brain uses a widely distributed, but nonetheless redundant code that supports recovering most sensory information from smaller subpopulations.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/46699
http://dx.doi.org/10.1038/s41467-020-20722-y
url http://hdl.handle.net/10230/46699
http://dx.doi.org/10.1038/s41467-020-20722-y
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Nat Commun. 2021 Jan 20;12(1):473
info:eu-repo/grantAgreement/ES/2PE/BFU2017-85936-P
info:eu-repo/grantAgreement/ES/1PE/TIN2016-80347-R
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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