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Working memory is supported by learning to represent items as actions

Working memory is typically described as a set of processes that allow for the maintenance and manipulation of information for proximal actions, yet the “action” portion of this construct is commonly overlooked. In contrast, neuroscience-informed theories of working memory have emphasized the hierar...

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Detalles Bibliográficos
Autores principales: Cochrane, Aaron, Green, C. Shawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372123/
https://www.ncbi.nlm.nih.gov/pubmed/36859539
http://dx.doi.org/10.3758/s13414-023-02654-z
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author Cochrane, Aaron
Green, C. Shawn
author_facet Cochrane, Aaron
Green, C. Shawn
author_sort Cochrane, Aaron
collection PubMed
description Working memory is typically described as a set of processes that allow for the maintenance and manipulation of information for proximal actions, yet the “action” portion of this construct is commonly overlooked. In contrast, neuroscience-informed theories of working memory have emphasized the hierarchical nature of memory representations, including both goals and sensory representations. These two representational domains are combined for the service of actions. Here, we tested whether, as it is commonly measured (i.e., with computer-based stimuli and button-based responses), working memory involved the planning of motor actions (i.e., specific button presses). Next, we examined the role of motor plan learning in successful working memory performance. Results showed that visual working memory performance was disrupted by unpredictable motor mappings, indicating a role for motor planning in working memory. Further, predictable motor mappings were in fact learned over the course of the experiment, thereby causing the measure of working memory to be partially a measure of participants’ ability to learn arbitrary associations between visual stimuli and motor responses. Such learning was not highly specific to certain mappings; in sequences of short tasks, participants improved in their abilities to learn to represent items as actions in working memory. We discuss implications for working memory theories in light of hierarchical structure learning and ecological validity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13414-023-02654-z.
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spelling pubmed-103721232023-07-28 Working memory is supported by learning to represent items as actions Cochrane, Aaron Green, C. Shawn Atten Percept Psychophys Article Working memory is typically described as a set of processes that allow for the maintenance and manipulation of information for proximal actions, yet the “action” portion of this construct is commonly overlooked. In contrast, neuroscience-informed theories of working memory have emphasized the hierarchical nature of memory representations, including both goals and sensory representations. These two representational domains are combined for the service of actions. Here, we tested whether, as it is commonly measured (i.e., with computer-based stimuli and button-based responses), working memory involved the planning of motor actions (i.e., specific button presses). Next, we examined the role of motor plan learning in successful working memory performance. Results showed that visual working memory performance was disrupted by unpredictable motor mappings, indicating a role for motor planning in working memory. Further, predictable motor mappings were in fact learned over the course of the experiment, thereby causing the measure of working memory to be partially a measure of participants’ ability to learn arbitrary associations between visual stimuli and motor responses. Such learning was not highly specific to certain mappings; in sequences of short tasks, participants improved in their abilities to learn to represent items as actions in working memory. We discuss implications for working memory theories in light of hierarchical structure learning and ecological validity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13414-023-02654-z. Springer US 2023-03-01 2023 /pmc/articles/PMC10372123/ /pubmed/36859539 http://dx.doi.org/10.3758/s13414-023-02654-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cochrane, Aaron
Green, C. Shawn
Working memory is supported by learning to represent items as actions
title Working memory is supported by learning to represent items as actions
title_full Working memory is supported by learning to represent items as actions
title_fullStr Working memory is supported by learning to represent items as actions
title_full_unstemmed Working memory is supported by learning to represent items as actions
title_short Working memory is supported by learning to represent items as actions
title_sort working memory is supported by learning to represent items as actions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372123/
https://www.ncbi.nlm.nih.gov/pubmed/36859539
http://dx.doi.org/10.3758/s13414-023-02654-z
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