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

Nadim A. A. Atiya, Iñaki Rañó, Girijesh Prasad and KongFatt Wong-Lin ()
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Nadim A. A. Atiya: Ulster University, Magee Campus
Iñaki Rañó: Ulster University, Magee Campus
Girijesh Prasad: Ulster University, Magee Campus
KongFatt Wong-Lin: Ulster University, Magee Campus

Nature Communications, 2019, vol. 10, issue 1, 1-12

Abstract: 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.

Date: 2019
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DOI: 10.1038/s41467-019-10316-8

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