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Electrophysiological correlates of the flexible allocation of visual working memory resources
Visual working memory is a brief, capacity-limited store of visual information that is involved in a large number of cognitive functions. To guide one’s behavior effectively, one must efficiently allocate these limited memory resources across memory items. Previous research has suggested that items...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923388/ https://www.ncbi.nlm.nih.gov/pubmed/31857657 http://dx.doi.org/10.1038/s41598-019-55948-4 |
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author | Salahub, Christine Lockhart, Holly A. Dube, Blaire Al-Aidroos, Naseem Emrich, Stephen M. |
author_facet | Salahub, Christine Lockhart, Holly A. Dube, Blaire Al-Aidroos, Naseem Emrich, Stephen M. |
author_sort | Salahub, Christine |
collection | PubMed |
description | Visual working memory is a brief, capacity-limited store of visual information that is involved in a large number of cognitive functions. To guide one’s behavior effectively, one must efficiently allocate these limited memory resources across memory items. Previous research has suggested that items are either stored in memory or completely blocked from memory access. However, recent behavioral work proposes that memory resources can be flexibly split across items based on their level of task importance. Here, we investigated the electrophysiological correlates of flexible resource allocation by manipulating the distribution of resources amongst systematically lateralized memory items. We examined the contralateral delay activity (CDA), a waveform typically associated with the number of items held in memory. Across three experiments, we found that, in addition to memory load, the CDA flexibly tracks memory resource allocation. This allocation occurred as early as attentional selection, as indicated by the N2pc. Additionally, CDA amplitude was better-described when fit with a continuous model predicted by load and resources together than when fit with either alone. Our findings show that electrophysiological markers of attentional selection and memory maintenance not only track memory load, but also the proportion of memory resources those items receive. |
format | Online Article Text |
id | pubmed-6923388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69233882019-12-20 Electrophysiological correlates of the flexible allocation of visual working memory resources Salahub, Christine Lockhart, Holly A. Dube, Blaire Al-Aidroos, Naseem Emrich, Stephen M. Sci Rep Article Visual working memory is a brief, capacity-limited store of visual information that is involved in a large number of cognitive functions. To guide one’s behavior effectively, one must efficiently allocate these limited memory resources across memory items. Previous research has suggested that items are either stored in memory or completely blocked from memory access. However, recent behavioral work proposes that memory resources can be flexibly split across items based on their level of task importance. Here, we investigated the electrophysiological correlates of flexible resource allocation by manipulating the distribution of resources amongst systematically lateralized memory items. We examined the contralateral delay activity (CDA), a waveform typically associated with the number of items held in memory. Across three experiments, we found that, in addition to memory load, the CDA flexibly tracks memory resource allocation. This allocation occurred as early as attentional selection, as indicated by the N2pc. Additionally, CDA amplitude was better-described when fit with a continuous model predicted by load and resources together than when fit with either alone. Our findings show that electrophysiological markers of attentional selection and memory maintenance not only track memory load, but also the proportion of memory resources those items receive. Nature Publishing Group UK 2019-12-19 /pmc/articles/PMC6923388/ /pubmed/31857657 http://dx.doi.org/10.1038/s41598-019-55948-4 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Salahub, Christine Lockhart, Holly A. Dube, Blaire Al-Aidroos, Naseem Emrich, Stephen M. Electrophysiological correlates of the flexible allocation of visual working memory resources |
title | Electrophysiological correlates of the flexible allocation of visual working memory resources |
title_full | Electrophysiological correlates of the flexible allocation of visual working memory resources |
title_fullStr | Electrophysiological correlates of the flexible allocation of visual working memory resources |
title_full_unstemmed | Electrophysiological correlates of the flexible allocation of visual working memory resources |
title_short | Electrophysiological correlates of the flexible allocation of visual working memory resources |
title_sort | electrophysiological correlates of the flexible allocation of visual working memory resources |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923388/ https://www.ncbi.nlm.nih.gov/pubmed/31857657 http://dx.doi.org/10.1038/s41598-019-55948-4 |
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