Building population models for large-scale neural recordings: Opportunities and pitfalls.


Journal

Current opinion in neurobiology
ISSN: 1873-6882
Titre abrégé: Curr Opin Neurobiol
Pays: England
ID NLM: 9111376

Informations de publication

Date de publication:
10 2021
Historique:
received: 03 02 2021
revised: 11 06 2021
accepted: 14 07 2021
pubmed: 20 8 2021
medline: 2 4 2022
entrez: 19 8 2021
Statut: ppublish

Résumé

Modern recording technologies now enable simultaneous recording from large numbers of neurons. This has driven the development of new statistical models for analyzing and interpreting neural population activity. Here, we provide a broad overview of recent developments in this area. We compare and contrast different approaches, highlight strengths and limitations, and discuss biological and mechanistic insights that these methods provide.

Identifiants

pubmed: 34411907
pii: S0959-4388(21)00072-6
doi: 10.1016/j.conb.2021.07.003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

64-73

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest statement Nothing declared.

Auteurs

Cole Hurwitz (C)

University of Edinburgh, Institute for Adaptive and Neural Computation Edinburgh, EH8 9AB, United Kingdom.

Nina Kudryashova (N)

University of Edinburgh, Institute for Adaptive and Neural Computation Edinburgh, EH8 9AB, United Kingdom.

Arno Onken (A)

University of Edinburgh, Institute for Adaptive and Neural Computation Edinburgh, EH8 9AB, United Kingdom.

Matthias H Hennig (MH)

University of Edinburgh, Institute for Adaptive and Neural Computation Edinburgh, EH8 9AB, United Kingdom. Electronic address: m.hennig@ed.ac.uk.

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Classifications MeSH