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Synaptic basis of a sub-second representation of time in a neural circuit model

Temporal sequences of neural activity are essential for driving well-timed behaviors, but the underlying cellular and circuit mechanisms remain elusive. We leveraged the well-defined architecture of the cerebellum, a brain region known to support temporally precise actions, to explore theoretically...

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Autores principales: Barri, A., Wiechert, M. T., Jazayeri, M., DiGregorio, D. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780315/
https://www.ncbi.nlm.nih.gov/pubmed/36550115
http://dx.doi.org/10.1038/s41467-022-35395-y
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author Barri, A.
Wiechert, M. T.
Jazayeri, M.
DiGregorio, D. A.
author_facet Barri, A.
Wiechert, M. T.
Jazayeri, M.
DiGregorio, D. A.
author_sort Barri, A.
collection PubMed
description Temporal sequences of neural activity are essential for driving well-timed behaviors, but the underlying cellular and circuit mechanisms remain elusive. We leveraged the well-defined architecture of the cerebellum, a brain region known to support temporally precise actions, to explore theoretically whether the experimentally observed diversity of short-term synaptic plasticity (STP) at the input layer could generate neural dynamics sufficient for sub-second temporal learning. A cerebellar circuit model equipped with dynamic synapses produced a diverse set of transient granule cell firing patterns that provided a temporal basis set for learning precisely timed pauses in Purkinje cell activity during simulated delay eyelid conditioning and Bayesian interval estimation. The learning performance across time intervals was influenced by the temporal bandwidth of the temporal basis, which was determined by the input layer synaptic properties. The ubiquity of STP throughout the brain positions it as a general, tunable cellular mechanism for sculpting neural dynamics and fine-tuning behavior.
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spelling pubmed-97803152022-12-24 Synaptic basis of a sub-second representation of time in a neural circuit model Barri, A. Wiechert, M. T. Jazayeri, M. DiGregorio, D. A. Nat Commun Article Temporal sequences of neural activity are essential for driving well-timed behaviors, but the underlying cellular and circuit mechanisms remain elusive. We leveraged the well-defined architecture of the cerebellum, a brain region known to support temporally precise actions, to explore theoretically whether the experimentally observed diversity of short-term synaptic plasticity (STP) at the input layer could generate neural dynamics sufficient for sub-second temporal learning. A cerebellar circuit model equipped with dynamic synapses produced a diverse set of transient granule cell firing patterns that provided a temporal basis set for learning precisely timed pauses in Purkinje cell activity during simulated delay eyelid conditioning and Bayesian interval estimation. The learning performance across time intervals was influenced by the temporal bandwidth of the temporal basis, which was determined by the input layer synaptic properties. The ubiquity of STP throughout the brain positions it as a general, tunable cellular mechanism for sculpting neural dynamics and fine-tuning behavior. Nature Publishing Group UK 2022-12-22 /pmc/articles/PMC9780315/ /pubmed/36550115 http://dx.doi.org/10.1038/s41467-022-35395-y Text en © The Author(s) 2022 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
Barri, A.
Wiechert, M. T.
Jazayeri, M.
DiGregorio, D. A.
Synaptic basis of a sub-second representation of time in a neural circuit model
title Synaptic basis of a sub-second representation of time in a neural circuit model
title_full Synaptic basis of a sub-second representation of time in a neural circuit model
title_fullStr Synaptic basis of a sub-second representation of time in a neural circuit model
title_full_unstemmed Synaptic basis of a sub-second representation of time in a neural circuit model
title_short Synaptic basis of a sub-second representation of time in a neural circuit model
title_sort synaptic basis of a sub-second representation of time in a neural circuit model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780315/
https://www.ncbi.nlm.nih.gov/pubmed/36550115
http://dx.doi.org/10.1038/s41467-022-35395-y
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