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

Nadim A. A. Atiya, Inaki Rano, Girijesh Prasad, KongFatt Wong-Lin*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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.

Original languageEnglish
Article number2287
JournalNature Communications
Number of pages8
Publication statusPublished - 2019


  • Decision Making/physiology
  • Humans
  • Models, Neurological
  • Nerve Net/physiology
  • Psychometrics
  • Uncertainty


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