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Propagation of activity through the cortical hierarchy and perception are determined by neural variability
Brains are composed of anatomically and functionally distinct regions performing specialized tasks, but regions do not operate in isolation. Orchestration of complex behaviors requires communication between brain regions, but how neural dynamics are organized to facilitate reliable transmission is n...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471496/ https://www.ncbi.nlm.nih.gov/pubmed/37640911 http://dx.doi.org/10.1038/s41593-023-01413-5 |
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author | Rowland, James M. van der Plas, Thijs L. Loidolt, Matthias Lees, Robert M. Keeling, Joshua Dehning, Jonas Akam, Thomas Priesemann, Viola Packer, Adam M. |
author_facet | Rowland, James M. van der Plas, Thijs L. Loidolt, Matthias Lees, Robert M. Keeling, Joshua Dehning, Jonas Akam, Thomas Priesemann, Viola Packer, Adam M. |
author_sort | Rowland, James M. |
collection | PubMed |
description | Brains are composed of anatomically and functionally distinct regions performing specialized tasks, but regions do not operate in isolation. Orchestration of complex behaviors requires communication between brain regions, but how neural dynamics are organized to facilitate reliable transmission is not well understood. Here we studied this process directly by generating neural activity that propagates between brain regions and drives behavior, assessing how neural populations in sensory cortex cooperate to transmit information. We achieved this by imaging two densely interconnected regions—the primary and secondary somatosensory cortex (S1 and S2)—in mice while performing two-photon photostimulation of S1 neurons and assigning behavioral salience to the photostimulation. We found that the probability of perception is determined not only by the strength of the photostimulation but also by the variability of S1 neural activity. Therefore, maximizing the signal-to-noise ratio of the stimulus representation in cortex relative to the noise or variability is critical to facilitate activity propagation and perception. |
format | Online Article Text |
id | pubmed-10471496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104714962023-09-02 Propagation of activity through the cortical hierarchy and perception are determined by neural variability Rowland, James M. van der Plas, Thijs L. Loidolt, Matthias Lees, Robert M. Keeling, Joshua Dehning, Jonas Akam, Thomas Priesemann, Viola Packer, Adam M. Nat Neurosci Article Brains are composed of anatomically and functionally distinct regions performing specialized tasks, but regions do not operate in isolation. Orchestration of complex behaviors requires communication between brain regions, but how neural dynamics are organized to facilitate reliable transmission is not well understood. Here we studied this process directly by generating neural activity that propagates between brain regions and drives behavior, assessing how neural populations in sensory cortex cooperate to transmit information. We achieved this by imaging two densely interconnected regions—the primary and secondary somatosensory cortex (S1 and S2)—in mice while performing two-photon photostimulation of S1 neurons and assigning behavioral salience to the photostimulation. We found that the probability of perception is determined not only by the strength of the photostimulation but also by the variability of S1 neural activity. Therefore, maximizing the signal-to-noise ratio of the stimulus representation in cortex relative to the noise or variability is critical to facilitate activity propagation and perception. Nature Publishing Group US 2023-08-28 2023 /pmc/articles/PMC10471496/ /pubmed/37640911 http://dx.doi.org/10.1038/s41593-023-01413-5 Text en © The Author(s) 2023 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 Rowland, James M. van der Plas, Thijs L. Loidolt, Matthias Lees, Robert M. Keeling, Joshua Dehning, Jonas Akam, Thomas Priesemann, Viola Packer, Adam M. Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title | Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title_full | Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title_fullStr | Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title_full_unstemmed | Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title_short | Propagation of activity through the cortical hierarchy and perception are determined by neural variability |
title_sort | propagation of activity through the cortical hierarchy and perception are determined by neural variability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471496/ https://www.ncbi.nlm.nih.gov/pubmed/37640911 http://dx.doi.org/10.1038/s41593-023-01413-5 |
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