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Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits
The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we ch...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335110/ https://www.ncbi.nlm.nih.gov/pubmed/32620808 http://dx.doi.org/10.1038/s42003-020-1073-3 |
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author | Zempeltzi, Marina M. Kisse, Martin Brunk, Michael G. K. Glemser, Claudia Aksit, Sümeyra Deane, Katrina E. Maurya, Shivam Schneider, Lina Ohl, Frank W. Deliano, Matthias Happel, Max F. K. |
author_facet | Zempeltzi, Marina M. Kisse, Martin Brunk, Michael G. K. Glemser, Claudia Aksit, Sümeyra Deane, Katrina E. Maurya, Shivam Schneider, Lina Ohl, Frank W. Deliano, Matthias Happel, Max F. K. |
author_sort | Zempeltzi, Marina M. |
collection | PubMed |
description | The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we characterize layer-specific, spatiotemporal synaptic population activity with chronic, laminar current source density analysis in Mongolian gerbils (Meriones unguiculatus) trained in an auditory decision-making Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task- and choice-related information is represented in the mesoscopic neuronal population code of A1. Based on generalized linear-mixed effect models we found a layer-specific and multiplexed representation of the task rule, action selection, and the animal’s behavioral options as accumulating evidence in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit in the sensory cortex in order to code task-relevant information and guide sensory-based decision-making. |
format | Online Article Text |
id | pubmed-7335110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73351102020-07-09 Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits Zempeltzi, Marina M. Kisse, Martin Brunk, Michael G. K. Glemser, Claudia Aksit, Sümeyra Deane, Katrina E. Maurya, Shivam Schneider, Lina Ohl, Frank W. Deliano, Matthias Happel, Max F. K. Commun Biol Article The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we characterize layer-specific, spatiotemporal synaptic population activity with chronic, laminar current source density analysis in Mongolian gerbils (Meriones unguiculatus) trained in an auditory decision-making Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task- and choice-related information is represented in the mesoscopic neuronal population code of A1. Based on generalized linear-mixed effect models we found a layer-specific and multiplexed representation of the task rule, action selection, and the animal’s behavioral options as accumulating evidence in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit in the sensory cortex in order to code task-relevant information and guide sensory-based decision-making. Nature Publishing Group UK 2020-07-03 /pmc/articles/PMC7335110/ /pubmed/32620808 http://dx.doi.org/10.1038/s42003-020-1073-3 Text en © The Author(s) 2020 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 | Article Zempeltzi, Marina M. Kisse, Martin Brunk, Michael G. K. Glemser, Claudia Aksit, Sümeyra Deane, Katrina E. Maurya, Shivam Schneider, Lina Ohl, Frank W. Deliano, Matthias Happel, Max F. K. Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title | Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title_full | Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title_fullStr | Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title_full_unstemmed | Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title_short | Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
title_sort | task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335110/ https://www.ncbi.nlm.nih.gov/pubmed/32620808 http://dx.doi.org/10.1038/s42003-020-1073-3 |
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