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Humans can efficiently look for but not select multiple visual objects
The human brain recurrently prioritizes task-relevant over task-irrelevant visual information. A central question is whether multiple objects can be prioritized simultaneously. To answer this, we let observers search for two colored targets among distractors. Crucially, we independently varied the n...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733593/ https://www.ncbi.nlm.nih.gov/pubmed/31453807 http://dx.doi.org/10.7554/eLife.49130 |
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author | Ort, Eduard Fahrenfort, Johannes Jacobus ten Cate, Tuomas Eimer, Martin Olivers, Christian NL |
author_facet | Ort, Eduard Fahrenfort, Johannes Jacobus ten Cate, Tuomas Eimer, Martin Olivers, Christian NL |
author_sort | Ort, Eduard |
collection | PubMed |
description | The human brain recurrently prioritizes task-relevant over task-irrelevant visual information. A central question is whether multiple objects can be prioritized simultaneously. To answer this, we let observers search for two colored targets among distractors. Crucially, we independently varied the number of target colors that observers anticipated, and the number of target colors actually used to distinguish the targets in the display. This enabled us to dissociate the preparation of selection mechanisms from the actual engagement of such mechanisms. Multivariate classification of electroencephalographic activity allowed us to track selection of each target separately across time. The results revealed only small neural and behavioral costs associated with preparing for selecting two objects, but substantial costs when engaging in selection. Further analyses suggest this cost is the consequence of neural competition resulting in limited parallel processing, rather than a serial bottleneck. The findings bridge diverging theoretical perspectives on capacity limitations of feature-based attention. |
format | Online Article Text |
id | pubmed-6733593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67335932019-09-11 Humans can efficiently look for but not select multiple visual objects Ort, Eduard Fahrenfort, Johannes Jacobus ten Cate, Tuomas Eimer, Martin Olivers, Christian NL eLife Neuroscience The human brain recurrently prioritizes task-relevant over task-irrelevant visual information. A central question is whether multiple objects can be prioritized simultaneously. To answer this, we let observers search for two colored targets among distractors. Crucially, we independently varied the number of target colors that observers anticipated, and the number of target colors actually used to distinguish the targets in the display. This enabled us to dissociate the preparation of selection mechanisms from the actual engagement of such mechanisms. Multivariate classification of electroencephalographic activity allowed us to track selection of each target separately across time. The results revealed only small neural and behavioral costs associated with preparing for selecting two objects, but substantial costs when engaging in selection. Further analyses suggest this cost is the consequence of neural competition resulting in limited parallel processing, rather than a serial bottleneck. The findings bridge diverging theoretical perspectives on capacity limitations of feature-based attention. eLife Sciences Publications, Ltd 2019-08-27 /pmc/articles/PMC6733593/ /pubmed/31453807 http://dx.doi.org/10.7554/eLife.49130 Text en © 2019, Ort et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Ort, Eduard Fahrenfort, Johannes Jacobus ten Cate, Tuomas Eimer, Martin Olivers, Christian NL Humans can efficiently look for but not select multiple visual objects |
title | Humans can efficiently look for but not select multiple visual objects |
title_full | Humans can efficiently look for but not select multiple visual objects |
title_fullStr | Humans can efficiently look for but not select multiple visual objects |
title_full_unstemmed | Humans can efficiently look for but not select multiple visual objects |
title_short | Humans can efficiently look for but not select multiple visual objects |
title_sort | humans can efficiently look for but not select multiple visual objects |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733593/ https://www.ncbi.nlm.nih.gov/pubmed/31453807 http://dx.doi.org/10.7554/eLife.49130 |
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