Understanding neural signals of post-decisional performance monitoring: An integrative review
Performance monitoring is a key cognitive function, allowing to detect mistakes and adapt future behavior. Post-decisional neural signals have been identified that are sensitive to decision accuracy, decision confidence and subsequent adaptation. Here, we review recent work that supports an understa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2021-08-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/67556 |
| _version_ | 1828195938175287296 |
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| author | Kobe Desender K Richard Ridderinkhof Peter R Murphy |
| author_facet | Kobe Desender K Richard Ridderinkhof Peter R Murphy |
| author_sort | Kobe Desender |
| collection | DOAJ |
| description | Performance monitoring is a key cognitive function, allowing to detect mistakes and adapt future behavior. Post-decisional neural signals have been identified that are sensitive to decision accuracy, decision confidence and subsequent adaptation. Here, we review recent work that supports an understanding of late error/confidence signals in terms of the computational process of post-decisional evidence accumulation. We argue that the error positivity, a positive-going centro-parietal potential measured through scalp electrophysiology, reflects the post-decisional evidence accumulation process itself, which follows a boundary crossing event corresponding to initial decision commitment. This proposal provides a powerful explanation for both the morphological characteristics of the signal and its relation to various expressions of performance monitoring. Moreover, it suggests that the error positivity –a signal with thus far unique properties in cognitive neuroscience – can be leveraged to furnish key new insights into the inputs to, adaptation, and consequences of the post-decisional accumulation process. |
| first_indexed | 2024-04-12T09:51:46Z |
| format | Article |
| id | doaj.art-1c8042ba3fd24e45847b87944791ca5b |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T09:51:46Z |
| publishDate | 2021-08-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-1c8042ba3fd24e45847b87944791ca5b2022-12-22T03:37:49ZengeLife Sciences Publications LtdeLife2050-084X2021-08-011010.7554/eLife.67556Understanding neural signals of post-decisional performance monitoring: An integrative reviewKobe Desender0https://orcid.org/0000-0002-5462-4260K Richard Ridderinkhof1Peter R Murphy2Brain and Cognition, KU Leuven, Leuven, Belgium; Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, GermanyDepartment of Psychology, University of Amsterdam, Amsterdam, Netherlands; Amsterdam center for Brain and Cognition (ABC), University of Amsterdam, Amsterdam, NetherlandsDepartment of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, IrelandPerformance monitoring is a key cognitive function, allowing to detect mistakes and adapt future behavior. Post-decisional neural signals have been identified that are sensitive to decision accuracy, decision confidence and subsequent adaptation. Here, we review recent work that supports an understanding of late error/confidence signals in terms of the computational process of post-decisional evidence accumulation. We argue that the error positivity, a positive-going centro-parietal potential measured through scalp electrophysiology, reflects the post-decisional evidence accumulation process itself, which follows a boundary crossing event corresponding to initial decision commitment. This proposal provides a powerful explanation for both the morphological characteristics of the signal and its relation to various expressions of performance monitoring. Moreover, it suggests that the error positivity –a signal with thus far unique properties in cognitive neuroscience – can be leveraged to furnish key new insights into the inputs to, adaptation, and consequences of the post-decisional accumulation process.https://elifesciences.org/articles/67556performance monitoringevidence accumulationdrift diffusion modelerror positivitycognitive control |
| spellingShingle | Kobe Desender K Richard Ridderinkhof Peter R Murphy Understanding neural signals of post-decisional performance monitoring: An integrative review eLife performance monitoring evidence accumulation drift diffusion model error positivity cognitive control |
| title | Understanding neural signals of post-decisional performance monitoring: An integrative review |
| title_full | Understanding neural signals of post-decisional performance monitoring: An integrative review |
| title_fullStr | Understanding neural signals of post-decisional performance monitoring: An integrative review |
| title_full_unstemmed | Understanding neural signals of post-decisional performance monitoring: An integrative review |
| title_short | Understanding neural signals of post-decisional performance monitoring: An integrative review |
| title_sort | understanding neural signals of post decisional performance monitoring an integrative review |
| topic | performance monitoring evidence accumulation drift diffusion model error positivity cognitive control |
| url | https://elifesciences.org/articles/67556 |
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