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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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Detalles Bibliográficos
Autores principales: Huang, Yi, Yu, Rongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033096/
https://www.ncbi.nlm.nih.gov/pubmed/24904254
http://dx.doi.org/10.3389/fnins.2014.00108
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author Huang, Yi
Yu, Rongjun
author_facet Huang, Yi
Yu, Rongjun
author_sort Huang, Yi
collection PubMed
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 vs. wins and for loss omission vs. 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 pubmed-40330962014-06-05 The feedback-related negativity reflects “more or less” prediction error in appetitive and aversive conditions Huang, Yi Yu, Rongjun Front Neurosci Neuroscience 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 vs. wins and for loss omission vs. 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. Frontiers Media S.A. 2014-05-20 /pmc/articles/PMC4033096/ /pubmed/24904254 http://dx.doi.org/10.3389/fnins.2014.00108 Text en Copyright © 2014 Huang and Yu. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Huang, Yi
Yu, Rongjun
The feedback-related negativity reflects “more or less” prediction error in appetitive and aversive conditions
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 Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033096/
https://www.ncbi.nlm.nih.gov/pubmed/24904254
http://dx.doi.org/10.3389/fnins.2014.00108
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