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Long-range connectomics
Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and c...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Periodicals Inc
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910152/ https://www.ncbi.nlm.nih.gov/pubmed/24329486 http://dx.doi.org/10.1111/nyas.12271 |
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author | Jbabdi, Saad Behrens, Timothy E |
author_facet | Jbabdi, Saad Behrens, Timothy E |
author_sort | Jbabdi, Saad |
collection | PubMed |
description | Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and connectivity is therefore a prerequisite to cracking the neural code. In the past few decades, tremendous technological advances have been achieved in connectivity measurement techniques. We now possess a battery of tools to measure brain activity and connections at all available scales. A great source of excitement are the new in vivo tools that allow us to measure structural and functional connections noninvasively. Here, we discuss how these new technologies may contribute to deciphering the neural code. |
format | Online Article Text |
id | pubmed-3910152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Wiley Periodicals Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-39101522014-02-06 Long-range connectomics Jbabdi, Saad Behrens, Timothy E Ann N Y Acad Sci Cracking the Neural Code: Third Annual Aspen Brain Forums Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and connectivity is therefore a prerequisite to cracking the neural code. In the past few decades, tremendous technological advances have been achieved in connectivity measurement techniques. We now possess a battery of tools to measure brain activity and connections at all available scales. A great source of excitement are the new in vivo tools that allow us to measure structural and functional connections noninvasively. Here, we discuss how these new technologies may contribute to deciphering the neural code. Wiley Periodicals Inc 2013-12 2013-09-24 /pmc/articles/PMC3910152/ /pubmed/24329486 http://dx.doi.org/10.1111/nyas.12271 Text en © 2013 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals, Inc. on behalf of New York Academy of Sciences. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cracking the Neural Code: Third Annual Aspen Brain Forums Jbabdi, Saad Behrens, Timothy E Long-range connectomics |
title | Long-range connectomics |
title_full | Long-range connectomics |
title_fullStr | Long-range connectomics |
title_full_unstemmed | Long-range connectomics |
title_short | Long-range connectomics |
title_sort | long-range connectomics |
topic | Cracking the Neural Code: Third Annual Aspen Brain Forums |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910152/ https://www.ncbi.nlm.nih.gov/pubmed/24329486 http://dx.doi.org/10.1111/nyas.12271 |
work_keys_str_mv | AT jbabdisaad longrangeconnectomics AT behrenstimothye longrangeconnectomics |