How to study the neural mechanisms of multiple tasks.
cognition
computational modeling
multiple tasks
neural networks
Journal
Current opinion in behavioral sciences
ISSN: 2352-1546
Titre abrégé: Curr Opin Behav Sci
Pays: Netherlands
ID NLM: 101644944
Informations de publication
Date de publication:
Oct 2019
Oct 2019
Historique:
entrez:
4
6
2020
pubmed:
4
6
2020
medline:
4
6
2020
Statut:
ppublish
Résumé
Most biological and artificial neural systems are capable of completing multiple tasks. However, the neural mechanism by which multiple tasks are accomplished within the same system is largely unclear. We start by discussing how different tasks can be related, and methods to generate large sets of inter-related tasks to study how neural networks and animals perform multiple tasks. We then argue that there are mechanisms that emphasize either specialization or flexibility. We will review two such neural mechanisms underlying multiple tasks at the neuronal level (modularity and mixed selectivity), and discuss how different mechanisms can emerge depending on training methods in neural networks.
Identifiants
pubmed: 32490053
doi: 10.1016/j.cobeha.2019.07.001
pmc: PMC7266112
mid: NIHMS1591787
doi:
Types de publication
Journal Article
Langues
eng
Pagination
134-143Subventions
Organisme : NIA NIH HHS
ID : R01 AG055556
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109520
Pays : United States
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