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A neural circuit model of decision uncertainty and change-of-mind.

Abstract：

:Decision-making is often accompanied by a degree of confidence on whether a choice is correct. Decision uncertainty, or lack in confidence, may lead to change-of-mind. Studies have identified the behavioural characteristics associated with decision confidence or change-of-mind, and their neural correlates. Although several theoretical accounts have been proposed, there is no neural model that can compute decision uncertainty and explain its effects on change-of-mind. We propose a neuronal circuit model that computes decision uncertainty while accounting for a variety of behavioural and neural data of decision confidence and change-of-mind, including testable model predictions. Our theoretical analysis suggests that change-of-mind occurs due to the presence of a transient uncertainty-induced choice-neutral stable steady state and noisy fluctuation within the neuronal network. Our distributed network model indicates that the neural basis of change-of-mind is more distinctively identified in motor-based neurons. Overall, our model provides a framework that unifies decision confidence and change-of-mind.

journal_name

Nat Commun

journal_title

Nature communications

authors

Atiya NAA,Rañó I,Prasad G,Wong-Lin K

doi

10.1038/s41467-019-10316-8

subject

Has Abstract

pub_date

2019-05-23 00:00:00

pages

2287

issue

1

issn

2041-1723

pii

10.1038/s41467-019-10316-8

journal_volume

10

pub_type

杂志文章

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