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Hierarchical and nonhierarchical features of the mouse visual cortical network
Neocortical computations underlying vision are performed by a distributed network of functionally specialized areas. Mouse visual cortex, a dense interareal network that exhibits hierarchical properties, comprises subnetworks interconnecting distinct processing streams. To determine the layout of th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791996/ https://www.ncbi.nlm.nih.gov/pubmed/35082302 http://dx.doi.org/10.1038/s41467-022-28035-y |
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author | D’Souza, Rinaldo D. Wang, Quanxin Ji, Weiqing Meier, Andrew M. Kennedy, Henry Knoblauch, Kenneth Burkhalter, Andreas |
author_facet | D’Souza, Rinaldo D. Wang, Quanxin Ji, Weiqing Meier, Andrew M. Kennedy, Henry Knoblauch, Kenneth Burkhalter, Andreas |
author_sort | D’Souza, Rinaldo D. |
collection | PubMed |
description | Neocortical computations underlying vision are performed by a distributed network of functionally specialized areas. Mouse visual cortex, a dense interareal network that exhibits hierarchical properties, comprises subnetworks interconnecting distinct processing streams. To determine the layout of the mouse visual hierarchy, we have evaluated the laminar patterns formed by interareal axonal projections originating in each of ten areas. Reciprocally connected pairs of areas exhibit feedforward/feedback relationships consistent with a hierarchical organization. Beta regression analyses, which estimate a continuous hierarchical distance measure, indicate that the network comprises multiple nonhierarchical circuits embedded in a hierarchical organization of overlapping levels. Single-unit recordings in anaesthetized mice show that receptive field sizes are generally consistent with the hierarchy, with the ventral stream exhibiting a stricter hierarchy than the dorsal stream. Together, the results provide an anatomical metric for hierarchical distance, and reveal both hierarchical and nonhierarchical motifs in mouse visual cortex. |
format | Online Article Text |
id | pubmed-8791996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87919962022-02-07 Hierarchical and nonhierarchical features of the mouse visual cortical network D’Souza, Rinaldo D. Wang, Quanxin Ji, Weiqing Meier, Andrew M. Kennedy, Henry Knoblauch, Kenneth Burkhalter, Andreas Nat Commun Article Neocortical computations underlying vision are performed by a distributed network of functionally specialized areas. Mouse visual cortex, a dense interareal network that exhibits hierarchical properties, comprises subnetworks interconnecting distinct processing streams. To determine the layout of the mouse visual hierarchy, we have evaluated the laminar patterns formed by interareal axonal projections originating in each of ten areas. Reciprocally connected pairs of areas exhibit feedforward/feedback relationships consistent with a hierarchical organization. Beta regression analyses, which estimate a continuous hierarchical distance measure, indicate that the network comprises multiple nonhierarchical circuits embedded in a hierarchical organization of overlapping levels. Single-unit recordings in anaesthetized mice show that receptive field sizes are generally consistent with the hierarchy, with the ventral stream exhibiting a stricter hierarchy than the dorsal stream. Together, the results provide an anatomical metric for hierarchical distance, and reveal both hierarchical and nonhierarchical motifs in mouse visual cortex. Nature Publishing Group UK 2022-01-26 /pmc/articles/PMC8791996/ /pubmed/35082302 http://dx.doi.org/10.1038/s41467-022-28035-y Text en © The Author(s) 2022 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 D’Souza, Rinaldo D. Wang, Quanxin Ji, Weiqing Meier, Andrew M. Kennedy, Henry Knoblauch, Kenneth Burkhalter, Andreas Hierarchical and nonhierarchical features of the mouse visual cortical network |
title | Hierarchical and nonhierarchical features of the mouse visual cortical network |
title_full | Hierarchical and nonhierarchical features of the mouse visual cortical network |
title_fullStr | Hierarchical and nonhierarchical features of the mouse visual cortical network |
title_full_unstemmed | Hierarchical and nonhierarchical features of the mouse visual cortical network |
title_short | Hierarchical and nonhierarchical features of the mouse visual cortical network |
title_sort | hierarchical and nonhierarchical features of the mouse visual cortical network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791996/ https://www.ncbi.nlm.nih.gov/pubmed/35082302 http://dx.doi.org/10.1038/s41467-022-28035-y |
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