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Object-based grouping benefits without integrated feature representations in visual working memory
Visual working memory (VWM) is typically considered to represent complete objects—that is, separate parts of an object are maintained as bound objects. Yet it remains unclear whether and how the features of disparate parts are integrated into a whole-object memory representation. Using a change dete...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049898/ https://www.ncbi.nlm.nih.gov/pubmed/33073323 http://dx.doi.org/10.3758/s13414-020-02153-5 |
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author | Chen, Siyi Kocsis, Anna Liesefeld, Heinrich R. Müller, Hermann J. Conci, Markus |
author_facet | Chen, Siyi Kocsis, Anna Liesefeld, Heinrich R. Müller, Hermann J. Conci, Markus |
author_sort | Chen, Siyi |
collection | PubMed |
description | Visual working memory (VWM) is typically considered to represent complete objects—that is, separate parts of an object are maintained as bound objects. Yet it remains unclear whether and how the features of disparate parts are integrated into a whole-object memory representation. Using a change detection paradigm, the present study investigated whether VWM performance varies as a function of grouping strength for features that either determine the grouped object (orientation) or that are not directly grouping relevant (color). Our results showed a large grouping benefit for grouping-relevant orientation features and, additionally, a much smaller, albeit reliable, benefit for grouping-irrelevant color features when both were potentially task relevant. By contrast, when color was the only task-relevant feature, no grouping benefit from the orientation feature was revealed both under lower or relatively high demands for precision. Together, these results indicate that different features of an object are stored independently in VWM; and an emerging, higher-order grouping structure does not automatically lead to an integrated representation of all available features of an object. Instead, an object benefit depends on the specific task demands, which may generate a linked, task-dependent representation of independent features. |
format | Online Article Text |
id | pubmed-8049898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-80498982021-04-29 Object-based grouping benefits without integrated feature representations in visual working memory Chen, Siyi Kocsis, Anna Liesefeld, Heinrich R. Müller, Hermann J. Conci, Markus Atten Percept Psychophys Article Visual working memory (VWM) is typically considered to represent complete objects—that is, separate parts of an object are maintained as bound objects. Yet it remains unclear whether and how the features of disparate parts are integrated into a whole-object memory representation. Using a change detection paradigm, the present study investigated whether VWM performance varies as a function of grouping strength for features that either determine the grouped object (orientation) or that are not directly grouping relevant (color). Our results showed a large grouping benefit for grouping-relevant orientation features and, additionally, a much smaller, albeit reliable, benefit for grouping-irrelevant color features when both were potentially task relevant. By contrast, when color was the only task-relevant feature, no grouping benefit from the orientation feature was revealed both under lower or relatively high demands for precision. Together, these results indicate that different features of an object are stored independently in VWM; and an emerging, higher-order grouping structure does not automatically lead to an integrated representation of all available features of an object. Instead, an object benefit depends on the specific task demands, which may generate a linked, task-dependent representation of independent features. Springer US 2020-10-18 2021 /pmc/articles/PMC8049898/ /pubmed/33073323 http://dx.doi.org/10.3758/s13414-020-02153-5 Text en © The Author(s) 2020 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 Chen, Siyi Kocsis, Anna Liesefeld, Heinrich R. Müller, Hermann J. Conci, Markus Object-based grouping benefits without integrated feature representations in visual working memory |
title | Object-based grouping benefits without integrated feature representations in visual working memory |
title_full | Object-based grouping benefits without integrated feature representations in visual working memory |
title_fullStr | Object-based grouping benefits without integrated feature representations in visual working memory |
title_full_unstemmed | Object-based grouping benefits without integrated feature representations in visual working memory |
title_short | Object-based grouping benefits without integrated feature representations in visual working memory |
title_sort | object-based grouping benefits without integrated feature representations in visual working memory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049898/ https://www.ncbi.nlm.nih.gov/pubmed/33073323 http://dx.doi.org/10.3758/s13414-020-02153-5 |
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