Measurement, manipulation and modeling of brain-wide neural population dynamics

Neural recording technologies increasingly enable simultaneous measurement of neural activity from multiple brain areas. To gain insight into distributed neural computations, a commensurate advance in experimental and analytical methods is necessary. We discuss two opportunities towards this end: th...

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Detalles Bibliográficos
Autores principales: Shenoy, Krishna V., Kao, Jonathan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840924/
https://www.ncbi.nlm.nih.gov/pubmed/33504773
http://dx.doi.org/10.1038/s41467-020-20371-1
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author Shenoy, Krishna V.
Kao, Jonathan C.
author_facet Shenoy, Krishna V.
Kao, Jonathan C.
author_sort Shenoy, Krishna V.
collection PubMed
description Neural recording technologies increasingly enable simultaneous measurement of neural activity from multiple brain areas. To gain insight into distributed neural computations, a commensurate advance in experimental and analytical methods is necessary. We discuss two opportunities towards this end: the manipulation and modeling of neural population dynamics.
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spelling pubmed-78409242021-01-29 Measurement, manipulation and modeling of brain-wide neural population dynamics Shenoy, Krishna V. Kao, Jonathan C. Nat Commun Comment Neural recording technologies increasingly enable simultaneous measurement of neural activity from multiple brain areas. To gain insight into distributed neural computations, a commensurate advance in experimental and analytical methods is necessary. We discuss two opportunities towards this end: the manipulation and modeling of neural population dynamics. Nature Publishing Group UK 2021-01-27 /pmc/articles/PMC7840924/ /pubmed/33504773 http://dx.doi.org/10.1038/s41467-020-20371-1 Text en © The Author(s) 2021 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/.
spellingShingle Comment
Shenoy, Krishna V.
Kao, Jonathan C.
Measurement, manipulation and modeling of brain-wide neural population dynamics
title Measurement, manipulation and modeling of brain-wide neural population dynamics
title_full Measurement, manipulation and modeling of brain-wide neural population dynamics
title_fullStr Measurement, manipulation and modeling of brain-wide neural population dynamics
title_full_unstemmed Measurement, manipulation and modeling of brain-wide neural population dynamics
title_short Measurement, manipulation and modeling of brain-wide neural population dynamics
title_sort measurement, manipulation and modeling of brain-wide neural population dynamics
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840924/
https://www.ncbi.nlm.nih.gov/pubmed/33504773
http://dx.doi.org/10.1038/s41467-020-20371-1
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