The Neural Basis of Escape Behavior in Vertebrates.


Journal

Annual review of neuroscience
ISSN: 1545-4126
Titre abrégé: Annu Rev Neurosci
Pays: United States
ID NLM: 7804039

Informations de publication

Date de publication:
08 07 2020
Historique:
pubmed: 8 4 2020
medline: 3 8 2021
entrez: 8 4 2020
Statut: ppublish

Résumé

Escape is one of the most studied animal behaviors, and there is a rich normative theory that links threat properties to evasive actions and their timing. The behavioral principles of escape are evolutionarily conserved and rely on elementary computational steps such as classifying sensory stimuli and executing appropriate movements. These are common building blocks of general adaptive behaviors. Here we consider the computational challenges required for escape behaviors to be implemented, discuss possible algorithmic solutions, and review some of the underlying neural circuits and mechanisms. We outline shared neural principles that can be implemented by evolutionarily ancient neural systems to generate escape behavior, to which cortical encephalization has been added to allow for increased sophistication and flexibility in responding to threat.

Identifiants

pubmed: 32259462
doi: 10.1146/annurev-neuro-100219-122527
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

417-439

Subventions

Organisme : Wellcome Trust
ID : 214352/Z/18/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 090843/F/09/Z
Pays : United Kingdom

Auteurs

Tiago Branco (T)

UCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, London W1T 4JG, United Kingdom; email: t.branco@ucl.ac.uk.

Peter Redgrave (P)

Department of Psychology, The University of Sheffield, Sheffield S1 2LT, United Kingdom; email: p.redgrave@sheffield.ac.uk.

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Classifications MeSH