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Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence
Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we developed a task that independently manipulates selective gating operations into working-memory (input ga...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211210/ https://www.ncbi.nlm.nih.gov/pubmed/34097689 http://dx.doi.org/10.1371/journal.pcbi.1008971 |
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author | Rac-Lubashevsky, Rachel Frank, Michael J. |
author_facet | Rac-Lubashevsky, Rachel Frank, Michael J. |
author_sort | Rac-Lubashevsky, Rachel |
collection | PubMed |
description | Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we developed a task that independently manipulates selective gating operations into working-memory (input gating), from working-memory (output gating), and of responses (motor gating) and tested the neural dynamics and computational principles that support them. Increases in gating demands, captured by gate switches, were expressed by distinct EEG correlates at each gating level that evolved dynamically in partially overlapping time windows. Further, categorical representations of specific maintained items and of motor responses could be decoded from EEG when the corresponding gate was switching, thereby linking gating operations to prioritization. Finally, gate switching at all levels was related to increases in the motor decision threshold as quantified by the drift diffusion model. Together these results support the notion that cognitive gating operations scaffold on top of mechanisms involved in motor gating. |
format | Online Article Text |
id | pubmed-8211210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82112102021-06-29 Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence Rac-Lubashevsky, Rachel Frank, Michael J. PLoS Comput Biol Research Article Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we developed a task that independently manipulates selective gating operations into working-memory (input gating), from working-memory (output gating), and of responses (motor gating) and tested the neural dynamics and computational principles that support them. Increases in gating demands, captured by gate switches, were expressed by distinct EEG correlates at each gating level that evolved dynamically in partially overlapping time windows. Further, categorical representations of specific maintained items and of motor responses could be decoded from EEG when the corresponding gate was switching, thereby linking gating operations to prioritization. Finally, gate switching at all levels was related to increases in the motor decision threshold as quantified by the drift diffusion model. Together these results support the notion that cognitive gating operations scaffold on top of mechanisms involved in motor gating. Public Library of Science 2021-06-07 /pmc/articles/PMC8211210/ /pubmed/34097689 http://dx.doi.org/10.1371/journal.pcbi.1008971 Text en © 2021 Rac-Lubashevsky, Frank https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rac-Lubashevsky, Rachel Frank, Michael J. Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title | Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title_full | Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title_fullStr | Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title_full_unstemmed | Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title_short | Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence |
title_sort | analogous computations in working memory input, output and motor gating: electrophysiological and computational modeling evidence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211210/ https://www.ncbi.nlm.nih.gov/pubmed/34097689 http://dx.doi.org/10.1371/journal.pcbi.1008971 |
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