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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2014-05-01
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Series: | Frontiers in Neuroscience |
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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. |
first_indexed | 2024-12-22T16:18:26Z |
format | Article |
id | doaj.art-576044f8198d467594afd83171fe53ac |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-12-22T16:18:26Z |
publishDate | 2014-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neuroscience |
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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