Abstract deliberation by visuomotor neurons in prefrontal cortex.


Journal

Nature neuroscience
ISSN: 1546-1726
Titre abrégé: Nat Neurosci
Pays: United States
ID NLM: 9809671

Informations de publication

Date de publication:
29 Apr 2024
Historique:
received: 31 01 2023
accepted: 29 03 2024
medline: 30 4 2024
pubmed: 30 4 2024
entrez: 29 4 2024
Statut: aheadofprint

Résumé

During visually guided behavior, the prefrontal cortex plays a pivotal role in mapping sensory inputs onto appropriate motor plans. When the sensory input is ambiguous, this involves deliberation. It is not known whether the deliberation is implemented as a competition between possible stimulus interpretations or between possible motor plans. Here we study neural population activity in the prefrontal cortex of macaque monkeys trained to flexibly report perceptual judgments of ambiguous visual stimuli. We find that the population activity initially represents the formation of a perceptual choice before transitioning into the representation of the motor plan. Stimulus strength and prior expectations both bear on the formation of the perceptual choice, but not on the formation of the action plan. These results suggest that prefrontal circuits involved in action selection are also used for the deliberation of abstract propositions divorced from a specific motor plan, thus providing a crucial mechanism for abstract reasoning.

Identifiants

pubmed: 38684894
doi: 10.1038/s41593-024-01635-1
pii: 10.1038/s41593-024-01635-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NEI NIH HHS
ID : T32 EY021462
Pays : United States

Informations de copyright

© 2024. The Author(s).

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Auteurs

Julie A Charlton (JA)

Center for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA.
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Robbe L T Goris (RLT)

Center for Perceptual Systems, The University of Texas at Austin, Austin, TX, USA. robbe.goris@utexas.edu.

Classifications MeSH