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

Nadim Atiya, Ignacio Rano, Girijesh Prasad, KongFatt Wong-Lin

Research output: Contribution to journalArticle

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.
LanguageEnglish
Article number2287
Pages1-12
Number of pages12
JournalNature Communications
Volume10
Issue number1
Early online date23 May 2019
DOIs
Publication statusE-pub ahead of print - 23 May 2019

Fingerprint

Uncertainty
confidence
Networks (circuits)
Neural Networks (Computer)
Motor Neurons
Decision Making
Neurons
decision making
neurons
Decision making
predictions

Keywords

  • Decision, dynamical systems, network models, neural circuits

Cite this

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title = "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.",
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A neural circuit model of decision uncertainty and change-of-mind. / Atiya, Nadim; Rano, Ignacio; Prasad, Girijesh; Wong-Lin, KongFatt.

In: Nature Communications, Vol. 10, No. 1, 2287, 23.05.2019, p. 1-12.

Research output: Contribution to journalArticle

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