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Topographic numerosity maps cover subitizing and estimation ranges
Numerosity, the set size of a group of items, helps guide behaviour and decisions. Non-symbolic numerosities are represented by the approximate number system. However, distinct behavioural performance suggests that small numerosities, i.e. subitizing range, are implemented differently in the brain t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184945/ https://www.ncbi.nlm.nih.gov/pubmed/34099735 http://dx.doi.org/10.1038/s41467-021-23785-7 |
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author | Cai, Yuxuan Hofstetter, Shir van Dijk, Jelle Zuiderbaan, Wietske van der Zwaag, Wietske Harvey, Ben M. Dumoulin, Serge O. |
author_facet | Cai, Yuxuan Hofstetter, Shir van Dijk, Jelle Zuiderbaan, Wietske van der Zwaag, Wietske Harvey, Ben M. Dumoulin, Serge O. |
author_sort | Cai, Yuxuan |
collection | PubMed |
description | Numerosity, the set size of a group of items, helps guide behaviour and decisions. Non-symbolic numerosities are represented by the approximate number system. However, distinct behavioural performance suggests that small numerosities, i.e. subitizing range, are implemented differently in the brain than larger numerosities. Prior work has shown that neural populations selectively responding (i.e. hemodynamic responses) to small numerosities are organized into a network of topographical maps. Here, we investigate how neural populations respond to large numerosities, well into the ANS. Using 7 T fMRI and biologically-inspired analyses, we found a network of neural populations tuned to both small and large numerosities organized within the same topographic maps. These results demonstrate a continuum of numerosity preferences that progressively cover both the subitizing range and beyond within the same numerosity map, suggesting a single neural mechanism. We hypothesize that differences in map properties, such as cortical magnification and tuning width, underlie known differences in behaviour. |
format | Online Article Text |
id | pubmed-8184945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81849452021-06-11 Topographic numerosity maps cover subitizing and estimation ranges Cai, Yuxuan Hofstetter, Shir van Dijk, Jelle Zuiderbaan, Wietske van der Zwaag, Wietske Harvey, Ben M. Dumoulin, Serge O. Nat Commun Article Numerosity, the set size of a group of items, helps guide behaviour and decisions. Non-symbolic numerosities are represented by the approximate number system. However, distinct behavioural performance suggests that small numerosities, i.e. subitizing range, are implemented differently in the brain than larger numerosities. Prior work has shown that neural populations selectively responding (i.e. hemodynamic responses) to small numerosities are organized into a network of topographical maps. Here, we investigate how neural populations respond to large numerosities, well into the ANS. Using 7 T fMRI and biologically-inspired analyses, we found a network of neural populations tuned to both small and large numerosities organized within the same topographic maps. These results demonstrate a continuum of numerosity preferences that progressively cover both the subitizing range and beyond within the same numerosity map, suggesting a single neural mechanism. We hypothesize that differences in map properties, such as cortical magnification and tuning width, underlie known differences in behaviour. Nature Publishing Group UK 2021-06-07 /pmc/articles/PMC8184945/ /pubmed/34099735 http://dx.doi.org/10.1038/s41467-021-23785-7 Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cai, Yuxuan Hofstetter, Shir van Dijk, Jelle Zuiderbaan, Wietske van der Zwaag, Wietske Harvey, Ben M. Dumoulin, Serge O. Topographic numerosity maps cover subitizing and estimation ranges |
title | Topographic numerosity maps cover subitizing and estimation ranges |
title_full | Topographic numerosity maps cover subitizing and estimation ranges |
title_fullStr | Topographic numerosity maps cover subitizing and estimation ranges |
title_full_unstemmed | Topographic numerosity maps cover subitizing and estimation ranges |
title_short | Topographic numerosity maps cover subitizing and estimation ranges |
title_sort | topographic numerosity maps cover subitizing and estimation ranges |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184945/ https://www.ncbi.nlm.nih.gov/pubmed/34099735 http://dx.doi.org/10.1038/s41467-021-23785-7 |
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