Changes-of-mind in the absence of new post-decision evidence.

Decisions are occasionally accompanied by changes-of-mind. While considered a hallmark of cognitive flexibility, the mechanisms underlying changes-of-mind remain elusive. Previous studies on perceptual decision making have focused on changes-of-mind that are primarily driven by the accumulation of a...

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Main Authors: Nadim A A Atiya, Arkady Zgonnikov, Denis O'Hora, Martin Schoemann, Stefan Scherbaum, KongFatt Wong-Lin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-02-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007149
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spelling doaj-7ec12648c3454fee9ab8adddde8fa20d2021-04-21T15:14:09ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582020-02-01162e100714910.1371/journal.pcbi.1007149Changes-of-mind in the absence of new post-decision evidence.Nadim A A AtiyaArkady ZgonnikovDenis O'HoraMartin SchoemannStefan ScherbaumKongFatt Wong-LinDecisions are occasionally accompanied by changes-of-mind. While considered a hallmark of cognitive flexibility, the mechanisms underlying changes-of-mind remain elusive. Previous studies on perceptual decision making have focused on changes-of-mind that are primarily driven by the accumulation of additional noisy sensory evidence after the initial decision. In a motion discrimination task, we demonstrate that changes-of-mind can occur even in the absence of additional evidence after the initial decision. Unlike previous studies of changes-of-mind, the majority of changes-of-mind in our experiment occurred in trials with prolonged initial response times. This suggests a distinct mechanism underlying such changes. Using a neural circuit model of decision uncertainty and change-of-mind behaviour, we demonstrate that this phenomenon is associated with top-down signals mediated by an uncertainty-monitoring neural population. Such a mechanism is consistent with recent neurophysiological evidence showing a link between changes-of-mind and elevated top-down neural activity. Our model explains the long response times associated with changes-of-mind through high decision uncertainty levels in such trials, and accounts for the observed motor response trajectories. Overall, our work provides a computational framework that explains changes-of-mind in the absence of new post-decision evidence.https://doi.org/10.1371/journal.pcbi.1007149
collection DOAJ
language English
format Article
sources DOAJ
author Nadim A A Atiya
Arkady Zgonnikov
Denis O'Hora
Martin Schoemann
Stefan Scherbaum
KongFatt Wong-Lin
spellingShingle Nadim A A Atiya
Arkady Zgonnikov
Denis O'Hora
Martin Schoemann
Stefan Scherbaum
KongFatt Wong-Lin
Changes-of-mind in the absence of new post-decision evidence.
PLoS Computational Biology
author_facet Nadim A A Atiya
Arkady Zgonnikov
Denis O'Hora
Martin Schoemann
Stefan Scherbaum
KongFatt Wong-Lin
author_sort Nadim A A Atiya
title Changes-of-mind in the absence of new post-decision evidence.
title_short Changes-of-mind in the absence of new post-decision evidence.
title_full Changes-of-mind in the absence of new post-decision evidence.
title_fullStr Changes-of-mind in the absence of new post-decision evidence.
title_full_unstemmed Changes-of-mind in the absence of new post-decision evidence.
title_sort changes-of-mind in the absence of new post-decision evidence.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2020-02-01
description Decisions are occasionally accompanied by changes-of-mind. While considered a hallmark of cognitive flexibility, the mechanisms underlying changes-of-mind remain elusive. Previous studies on perceptual decision making have focused on changes-of-mind that are primarily driven by the accumulation of additional noisy sensory evidence after the initial decision. In a motion discrimination task, we demonstrate that changes-of-mind can occur even in the absence of additional evidence after the initial decision. Unlike previous studies of changes-of-mind, the majority of changes-of-mind in our experiment occurred in trials with prolonged initial response times. This suggests a distinct mechanism underlying such changes. Using a neural circuit model of decision uncertainty and change-of-mind behaviour, we demonstrate that this phenomenon is associated with top-down signals mediated by an uncertainty-monitoring neural population. Such a mechanism is consistent with recent neurophysiological evidence showing a link between changes-of-mind and elevated top-down neural activity. Our model explains the long response times associated with changes-of-mind through high decision uncertainty levels in such trials, and accounts for the observed motor response trajectories. Overall, our work provides a computational framework that explains changes-of-mind in the absence of new post-decision evidence.
url https://doi.org/10.1371/journal.pcbi.1007149
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