The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions

Humans make predictions and use feedback to update their subsequent predictions. The feedback-related negativity (FRN) has been found to be sensitive to negative feedback as well as negative prediction error, such that the FRN is larger for outcomes that are worse than expected. The present study ex...

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Main Authors: Rongjun eYu, Yi eHuang
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-05-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00108/full
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author Rongjun eYu
Yi eHuang
author_facet Rongjun eYu
Yi eHuang
author_sort Rongjun eYu
collection DOAJ
description Humans make predictions and use feedback to update their subsequent predictions. The feedback-related negativity (FRN) has been found to be sensitive to negative feedback as well as negative prediction error, such that the FRN is larger for outcomes that are worse than expected. The present study examined prediction errors in both appetitive and aversive conditions. We found that the FRN was more negative for reward omission versus wins and for loss omission versus losses, suggesting that the FRN might classify outcomes in a more-or-less than expected fashion rather than in the better-or-worse than expected dimension. Our findings challenge the previous notion that the FRN only encodes negative feedback and ‘worse than expected’ negative prediction error.
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spelling doaj.art-576044f8198d467594afd83171fe53ac2022-12-21T18:20:19ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2014-05-01810.3389/fnins.2014.0010889152The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditionsRongjun eYu0Yi eHuang1SCNUSCNUHumans make predictions and use feedback to update their subsequent predictions. The feedback-related negativity (FRN) has been found to be sensitive to negative feedback as well as negative prediction error, such that the FRN is larger for outcomes that are worse than expected. The present study examined prediction errors in both appetitive and aversive conditions. We found that the FRN was more negative for reward omission versus wins and for loss omission versus losses, suggesting that the FRN might classify outcomes in a more-or-less than expected fashion rather than in the better-or-worse than expected dimension. Our findings challenge the previous notion that the FRN only encodes negative feedback and ‘worse than expected’ negative prediction error.http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00108/fullreinforcement learningERPappetitiveaversivefeedback-related negative
spellingShingle Rongjun eYu
Yi eHuang
The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
Frontiers in Neuroscience
reinforcement learning
ERP
appetitive
aversive
feedback-related negative
title The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
title_full The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
title_fullStr The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
title_full_unstemmed The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
title_short The feedback-related negativity reflects ‘more or less’ prediction error in appetitive and aversive conditions
title_sort feedback related negativity reflects more or less prediction error in appetitive and aversive conditions
topic reinforcement learning
ERP
appetitive
aversive
feedback-related negative
url http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00108/full
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AT yiehuang feedbackrelatednegativityreflectsmoreorlesspredictionerrorinappetitiveandaversiveconditions