Decoding defensive systems.
Behavioral neurophysiology
Defensive behaviors
Machine learning
Population coding
Systems neuroscience
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 2022
10 2022
Historique:
received:
18
03
2022
revised:
21
05
2022
accepted:
30
05
2022
pubmed:
10
7
2022
medline:
21
9
2022
entrez:
9
7
2022
Statut:
ppublish
Résumé
Our understanding of the neuronal circuits and mechanisms of defensive systems has been primarily dominated by studies focusing on the contribution of individual cells in the processing of threat-predictive cues, defensive responses, the extinction of such responses and the contextual modulation of threat-related behavior. These studies have been key in establishing threat-related circuits and mechanisms. Yet, they fall short in answering long-standing questions related to the integrative processing of distinct threatening cues, behavioral states induced by threat-related events, or the bridging from sensory processing of threat-related cues to specific defensive responses. Recent conceptual and technical developments has allowed the monitoring of large populations of neurons, which in addition to advanced analytic tools, have improved our understanding of how collective neuronal activity supports threat-related behaviors. In this review, we discuss the current knowledge of neuronal population codes within threat-related networks, in the context of aversive motivated behavior and the study of defensive systems.
Identifiants
pubmed: 35809501
pii: S0959-4388(22)00094-0
doi: 10.1016/j.conb.2022.102600
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102600Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest statement Nothing declared.