Neural evidence accumulation persists after choice to inform metacognitive judgments
The ability to revise one’s certainty or confidence in a preceding choice is a critical feature of adaptive decision-making but the neural mechanisms underpinning this metacognitive process have yet to be characterized. In the present study, we demonstrate that the same build-to-threshold decision v...
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doaj-102fe2d4a9874201ada077b82162ff182021-05-05T00:10:49ZengeLife Sciences Publications LtdeLife2050-084X2015-12-01410.7554/eLife.11946Neural evidence accumulation persists after choice to inform metacognitive judgmentsPeter R Murphy0Ian H Robertson1Siobhán Harty2Redmond G O'Connell3Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, Ireland; Institute of Psychology, Leiden Institute for Brain and Cognition, Leiden University, Leiden, The NetherlandsTrinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, IrelandTrinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, IrelandTrinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, IrelandThe ability to revise one’s certainty or confidence in a preceding choice is a critical feature of adaptive decision-making but the neural mechanisms underpinning this metacognitive process have yet to be characterized. In the present study, we demonstrate that the same build-to-threshold decision variable signal that triggers an initial choice continues to evolve after commitment, and determines the timing and accuracy of self-initiated error detection reports by selectively representing accumulated evidence that the preceding choice was incorrect. We also show that a peri-choice signal generated in medial frontal cortex provides a source of input to this post-decision accumulation process, indicating that metacognitive judgments are not solely based on the accumulation of feedforward sensory evidence. These findings impart novel insights into the generative mechanisms of metacognition.https://elifesciences.org/articles/11946metacognitionerror detectiondecision-makingdiffusion modelEEG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peter R Murphy Ian H Robertson Siobhán Harty Redmond G O'Connell |
spellingShingle |
Peter R Murphy Ian H Robertson Siobhán Harty Redmond G O'Connell Neural evidence accumulation persists after choice to inform metacognitive judgments eLife metacognition error detection decision-making diffusion model EEG |
author_facet |
Peter R Murphy Ian H Robertson Siobhán Harty Redmond G O'Connell |
author_sort |
Peter R Murphy |
title |
Neural evidence accumulation persists after choice to inform metacognitive judgments |
title_short |
Neural evidence accumulation persists after choice to inform metacognitive judgments |
title_full |
Neural evidence accumulation persists after choice to inform metacognitive judgments |
title_fullStr |
Neural evidence accumulation persists after choice to inform metacognitive judgments |
title_full_unstemmed |
Neural evidence accumulation persists after choice to inform metacognitive judgments |
title_sort |
neural evidence accumulation persists after choice to inform metacognitive judgments |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2015-12-01 |
description |
The ability to revise one’s certainty or confidence in a preceding choice is a critical feature of adaptive decision-making but the neural mechanisms underpinning this metacognitive process have yet to be characterized. In the present study, we demonstrate that the same build-to-threshold decision variable signal that triggers an initial choice continues to evolve after commitment, and determines the timing and accuracy of self-initiated error detection reports by selectively representing accumulated evidence that the preceding choice was incorrect. We also show that a peri-choice signal generated in medial frontal cortex provides a source of input to this post-decision accumulation process, indicating that metacognitive judgments are not solely based on the accumulation of feedforward sensory evidence. These findings impart novel insights into the generative mechanisms of metacognition. |
topic |
metacognition error detection decision-making diffusion model EEG |
url |
https://elifesciences.org/articles/11946 |
work_keys_str_mv |
AT peterrmurphy neuralevidenceaccumulationpersistsafterchoicetoinformmetacognitivejudgments AT ianhrobertson neuralevidenceaccumulationpersistsafterchoicetoinformmetacognitivejudgments AT siobhanharty neuralevidenceaccumulationpersistsafterchoicetoinformmetacognitivejudgments AT redmondgoconnell neuralevidenceaccumulationpersistsafterchoicetoinformmetacognitivejudgments |
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