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

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

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)
65 Downloads (Pure)


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
Number of pages12
JournalNature Communications
Issue number1
Publication statusPublished (in print/issue) - 23 May 2019


  • Decision, dynamical systems, network models, neural circuits


Dive into the research topics of 'A neural circuit model of decision uncertainty and change-of-mind'. Together they form a unique fingerprint.

Cite this