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Curvature domains in V4 of macaque monkey
An important aspect of visual object recognition is the ability to perceive object shape. Two basic components of complex shapes are straight and curved contours. A large body of evidence suggests a modular hierarchy for shape representation progressing from simple and complex orientation in early a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707819/ https://www.ncbi.nlm.nih.gov/pubmed/33211004 http://dx.doi.org/10.7554/eLife.57261 |
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author | Hu, Jia Ming Song, Xue Mei Wang, Qiannan Roe, Anna Wang |
author_facet | Hu, Jia Ming Song, Xue Mei Wang, Qiannan Roe, Anna Wang |
author_sort | Hu, Jia Ming |
collection | PubMed |
description | An important aspect of visual object recognition is the ability to perceive object shape. Two basic components of complex shapes are straight and curved contours. A large body of evidence suggests a modular hierarchy for shape representation progressing from simple and complex orientation in early areas V1 and V2, to increasingly complex stages of curvature representation in V4, TEO, and TE. Here, we reinforce and extend the concept of modular representation. Using intrinsic signal optical imaging in Macaque area V4, we find sub-millimeter sized modules for curvature representation that are organized from low to high curvatures as well as domains with complex curvature preference. We propose a possible ‘curvature hypercolumn’ within V4. In combination with previous studies, we suggest that the key emergent functions at each stage of cortical processing are represented in systematic, modular maps. |
format | Online Article Text |
id | pubmed-7707819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77078192020-12-02 Curvature domains in V4 of macaque monkey Hu, Jia Ming Song, Xue Mei Wang, Qiannan Roe, Anna Wang eLife Neuroscience An important aspect of visual object recognition is the ability to perceive object shape. Two basic components of complex shapes are straight and curved contours. A large body of evidence suggests a modular hierarchy for shape representation progressing from simple and complex orientation in early areas V1 and V2, to increasingly complex stages of curvature representation in V4, TEO, and TE. Here, we reinforce and extend the concept of modular representation. Using intrinsic signal optical imaging in Macaque area V4, we find sub-millimeter sized modules for curvature representation that are organized from low to high curvatures as well as domains with complex curvature preference. We propose a possible ‘curvature hypercolumn’ within V4. In combination with previous studies, we suggest that the key emergent functions at each stage of cortical processing are represented in systematic, modular maps. eLife Sciences Publications, Ltd 2020-11-19 /pmc/articles/PMC7707819/ /pubmed/33211004 http://dx.doi.org/10.7554/eLife.57261 Text en © 2020, Hu 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 Hu, Jia Ming Song, Xue Mei Wang, Qiannan Roe, Anna Wang Curvature domains in V4 of macaque monkey |
title | Curvature domains in V4 of macaque monkey |
title_full | Curvature domains in V4 of macaque monkey |
title_fullStr | Curvature domains in V4 of macaque monkey |
title_full_unstemmed | Curvature domains in V4 of macaque monkey |
title_short | Curvature domains in V4 of macaque monkey |
title_sort | curvature domains in v4 of macaque monkey |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707819/ https://www.ncbi.nlm.nih.gov/pubmed/33211004 http://dx.doi.org/10.7554/eLife.57261 |
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