Modulation of the dynamical state in cortical network models.
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
10 2021
Historique:
received:
01
02
2021
revised:
18
05
2021
accepted:
14
07
2021
pubmed:
18
8
2021
medline:
2
4
2022
entrez:
17
8
2021
Statut:
ppublish
Résumé
Cortical neural responses can be modulated by various factors, such as stimulus inputs and the behavior state of the animal. Understanding the circuit mechanisms underlying modulations of network dynamics is important to understand the flexibility of circuit computations. Identifying the dynamical state of a network is an important first step to predict network responses to external stimulus and top-down modulatory inputs. Models in stable or unstable dynamical regimes require different analytic tools to estimate the network responses to inputs and the structure of neural variability. In this article, I review recent cortical models of state-dependent responses and their predictions about the underlying modulatory mechanisms.
Identifiants
pubmed: 34403890
pii: S0959-4388(21)00073-8
doi: 10.1016/j.conb.2021.07.004
pmc: PMC8688204
mid: NIHMS1733430
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
43-50Subventions
Organisme : NINDS NIH HHS
ID : R01 NS121913
Pays : United States
Organisme : NINDS NIH HHS
ID : RF1 NS121913
Pays : United States
Informations de copyright
Copyright © 2021 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest statement Nothing declared.
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