Unknown

Dataset Information

0

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.

SUBMITTER: Atiya NAA 

PROVIDER: S-EPMC6533317 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

Similar Datasets

2020-01-01 | S-EPMC7018100 | BioStudies
2020-01-01 | S-EPMC7250867 | BioStudies
2018-01-01 | S-EPMC5878683 | BioStudies
2012-01-01 | S-EPMC3420910 | BioStudies
2020-01-01 | S-EPMC7745153 | BioStudies
1000-01-01 | S-EPMC6135755 | BioStudies
2017-01-01 | S-EPMC5337963 | BioStudies
2019-01-01 | S-EPMC6904213 | BioStudies
2016-01-01 | S-EPMC5130696 | BioStudies
2010-01-01 | S-EPMC2923756 | BioStudies