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Ultrafast population coding and axo-somatic compartmentalization

Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment...

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Detalles Bibliográficos
Autores principales: Zhang, Chenfei, Hofmann, David, Neef, Andreas, Wolf, Fred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797191/
https://www.ncbi.nlm.nih.gov/pubmed/35041645
http://dx.doi.org/10.1371/journal.pcbi.1009775
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author Zhang, Chenfei
Hofmann, David
Neef, Andreas
Wolf, Fred
author_facet Zhang, Chenfei
Hofmann, David
Neef, Andreas
Wolf, Fred
author_sort Zhang, Chenfei
collection PubMed
description Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location, soma size, and axonal current properties. In particular, we studied their impact on two experimentally observed features 1) precise action potential timing, manifested in a wide-bandwidth dynamic gain, and 2) high-frequency boost under slowly fluctuating correlated input. While the density of axonal channels and their distance from the soma had a very small impact on bandwidth, it could be moderately improved by increasing soma size. When the voltage sensitivity of axonal currents was increased we observed ultrafast coding and high-frequency boost. We conclude that these computationally relevant features are strongly dependent on axonal ion channels’ voltage sensitivity, but not their number or exact location. We point out that ion channel properties, unlike dendrite size, can undergo rapid physiological modification, suggesting that the temporal accuracy of neuronal population encoding could be dynamically regulated. Our results are in line with recent experimental findings in AIS pathologies and establish a framework to study structure-function relations in AIS molecular design.
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spelling pubmed-87971912022-01-29 Ultrafast population coding and axo-somatic compartmentalization Zhang, Chenfei Hofmann, David Neef, Andreas Wolf, Fred PLoS Comput Biol Research Article Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location, soma size, and axonal current properties. In particular, we studied their impact on two experimentally observed features 1) precise action potential timing, manifested in a wide-bandwidth dynamic gain, and 2) high-frequency boost under slowly fluctuating correlated input. While the density of axonal channels and their distance from the soma had a very small impact on bandwidth, it could be moderately improved by increasing soma size. When the voltage sensitivity of axonal currents was increased we observed ultrafast coding and high-frequency boost. We conclude that these computationally relevant features are strongly dependent on axonal ion channels’ voltage sensitivity, but not their number or exact location. We point out that ion channel properties, unlike dendrite size, can undergo rapid physiological modification, suggesting that the temporal accuracy of neuronal population encoding could be dynamically regulated. Our results are in line with recent experimental findings in AIS pathologies and establish a framework to study structure-function relations in AIS molecular design. Public Library of Science 2022-01-18 /pmc/articles/PMC8797191/ /pubmed/35041645 http://dx.doi.org/10.1371/journal.pcbi.1009775 Text en © 2022 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Chenfei
Hofmann, David
Neef, Andreas
Wolf, Fred
Ultrafast population coding and axo-somatic compartmentalization
title Ultrafast population coding and axo-somatic compartmentalization
title_full Ultrafast population coding and axo-somatic compartmentalization
title_fullStr Ultrafast population coding and axo-somatic compartmentalization
title_full_unstemmed Ultrafast population coding and axo-somatic compartmentalization
title_short Ultrafast population coding and axo-somatic compartmentalization
title_sort ultrafast population coding and axo-somatic compartmentalization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797191/
https://www.ncbi.nlm.nih.gov/pubmed/35041645
http://dx.doi.org/10.1371/journal.pcbi.1009775
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