Inference-Based Decisions in a Hidden State Foraging Task: Differential Contributions of Prefrontal Cortical Areas.
PFC
cross-species task
foraging
inference
state representation
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
08 04 2020
08 04 2020
Historique:
received:
14
06
2019
revised:
24
10
2019
accepted:
14
01
2020
pubmed:
13
2
2020
medline:
29
7
2020
entrez:
13
2
2020
Statut:
ppublish
Résumé
Essential features of the world are often hidden and must be inferred by constructing internal models based on indirect evidence. Here, to study the mechanisms of inference, we establish a foraging task that is naturalistic and easily learned yet can distinguish inference from simpler strategies such as the direct integration of sensory data. We show that both mice and humans learn a strategy consistent with optimal inference of a hidden state. However, humans acquire this strategy more than an order of magnitude faster than mice. Using optogenetics in mice, we show that orbitofrontal and anterior cingulate cortex inactivation impacts task performance, but only orbitofrontal inactivation reverts mice from an inference-based to a stimulus-bound decision strategy. These results establish a cross-species paradigm for studying the problem of inference-based decision making and begins to dissect the network of brain regions crucial for its performance.
Identifiants
pubmed: 32048995
pii: S0896-6273(20)30043-X
doi: 10.1016/j.neuron.2020.01.017
pmc: PMC7146546
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Video-Audio Media
Langues
eng
Sous-ensembles de citation
IM
Pagination
166-176.e6Subventions
Organisme : European Research Council
ID : 671251
Pays : International
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.
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