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

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  • dc.contributor.author Kafashan, MohammadMehdi
  • dc.contributor.author Jaffe, Anna W.
  • dc.contributor.author Chettih, Selmaan N.
  • dc.contributor.author Nogueira, Ramon
  • dc.contributor.author Arandía Romero, Iñigo
  • dc.contributor.author Harvey, Christopher D.
  • dc.contributor.author Moreno Bote, Rubén
  • dc.contributor.author Drugowitsch, Jan
  • dc.date.accessioned 2021-03-09T09:36:55Z
  • dc.date.available 2021-03-09T09:36:55Z
  • dc.date.issued 2021
  • dc.description.abstract 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.
  • dc.description.sponsorship 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.).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Kafashan M, Jaffe AW, Chettih SN, Nogueira R, Arandia-Romero I, Harvey CD, Moreno-Bote R, Drugowitsch J. Scaling of sensory information in large neural populations shows signatures of information-limiting correlations. Nat Commun. 2021 Jan 20;12(1):473. DOI: 10.1038/s41467-020-20722-y
  • dc.identifier.doi http://dx.doi.org/10.1038/s41467-020-20722-y
  • dc.identifier.issn 2041-1723
  • dc.identifier.uri http://hdl.handle.net/10230/46699
  • dc.language.iso eng
  • dc.publisher Nature Research
  • dc.relation.ispartof Nat Commun. 2021 Jan 20;12(1):473
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/BFU2017-85936-P
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2016-80347-R
  • dc.rights © 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/.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Mice, Inbred C57BL
  • dc.subject.keyword Noise
  • dc.subject.keyword Photic Stimulation
  • dc.subject.keyword Visual Cortex
  • dc.title Scaling of sensory information in large neural populations shows signatures of information-limiting correlations
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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