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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MIT Press
2019
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6663318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT roeannawang columnarconnectometowardamathematicsofbrainfunction |