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Columnar connectome: toward a mathematics of brain function

Understanding brain networks is important for many fields, including neuroscience, psychology, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in the United States, Europe, and Asia producing brain connection maps with resolutio...

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Detalles Bibliográficos
Autor principal: Roe, Anna Wang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6663318/
https://www.ncbi.nlm.nih.gov/pubmed/31410379
http://dx.doi.org/10.1162/netn_a_00088
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author Roe, Anna Wang
author_facet Roe, Anna Wang
author_sort Roe, Anna Wang
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description Understanding brain networks is important for many fields, including neuroscience, psychology, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in the United States, Europe, and Asia producing brain connection maps with resolutions at macro- and microscales. However, still lacking is a mesoscale connectome. This viewpoint (1) explains the need for a mesoscale connectome in the primate brain (the columnar connectome), (2) presents a new method for acquiring such data rapidly on a large scale, and (3) proposes how one might use such data to achieve a mathematics of brain function.
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spelling pubmed-66633182019-08-13 Columnar connectome: toward a mathematics of brain function Roe, Anna Wang Netw Neurosci Perspective Understanding brain networks is important for many fields, including neuroscience, psychology, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in the United States, Europe, and Asia producing brain connection maps with resolutions at macro- and microscales. However, still lacking is a mesoscale connectome. This viewpoint (1) explains the need for a mesoscale connectome in the primate brain (the columnar connectome), (2) presents a new method for acquiring such data rapidly on a large scale, and (3) proposes how one might use such data to achieve a mathematics of brain function. MIT Press 2019-07-01 /pmc/articles/PMC6663318/ /pubmed/31410379 http://dx.doi.org/10.1162/netn_a_00088 Text en © 2019 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Perspective
Roe, Anna Wang
Columnar connectome: toward a mathematics of brain function
title Columnar connectome: toward a mathematics of brain function
title_full Columnar connectome: toward a mathematics of brain function
title_fullStr Columnar connectome: toward a mathematics of brain function
title_full_unstemmed Columnar connectome: toward a mathematics of brain function
title_short Columnar connectome: toward a mathematics of brain function
title_sort columnar connectome: toward a mathematics of brain function
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6663318/
https://www.ncbi.nlm.nih.gov/pubmed/31410379
http://dx.doi.org/10.1162/netn_a_00088
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