Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding.


Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
14 04 2020
Historique:
received: 07 10 2019
revised: 22 01 2020
accepted: 13 03 2020
entrez: 16 4 2020
pubmed: 16 4 2020
medline: 28 4 2021
Statut: ppublish

Résumé

Unbiased and dense sampling of large populations of layer 2/3 pyramidal neurons in mouse primary visual cortex (V1) reveals two functional sub-populations: neurons tuned and untuned to drifting gratings. Whether functional interactions between these two groups contribute to the representation of visual stimuli is unclear. To examine these interactions, we summarize the population partial pairwise correlation structure as a directed and weighted graph. We find that tuned and untuned neurons have distinct topological properties, with untuned neurons occupying central positions in functional networks (FNs). Implementation of a decoder that utilizes the topology of these FNs yields accurate decoding of visual stimuli. We further show that decoding performance degrades comparably following manipulations of either tuned or untuned neurons. Our results demonstrate that untuned neurons are an integral component of V1 FNs and suggest that network interactions contain information about the stimulus that is accessible to downstream elements.

Identifiants

pubmed: 32294431
pii: S2211-1247(20)30361-2
doi: 10.1016/j.celrep.2020.03.047
pmc: PMC7218481
mid: NIHMS1584934
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

107483

Subventions

Organisme : NEI NIH HHS
ID : R01 EY022338
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH121978
Pays : United States

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no competing interests.

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Auteurs

Maayan Levy (M)

Committee on Computational Neuroscience, The University of Chicago, Chicago, IL 60637, USA.

Olaf Sporns (O)

Indiana University Network Science Institute, Indiana University, Bloomington, IN 47405, USA; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.

Jason N MacLean (JN)

Committee on Computational Neuroscience, The University of Chicago, Chicago, IL 60637, USA; Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA; Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior. Electronic address: jmaclean@uchicago.edu.

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Classifications MeSH