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Neuronal morphology enhances robustness to perturbations of channel densities
Biological neurons show significant cell-to-cell variability but have the striking ability to maintain their key firing properties in the face of unpredictable perturbations and stochastic noise. Using a population of multi-compartment models consisting of soma, neurites, and axon for the lateral py...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974411/ https://www.ncbi.nlm.nih.gov/pubmed/36787352 http://dx.doi.org/10.1073/pnas.2219049120 |
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author | Zang, Yunliang Marder, Eve |
author_facet | Zang, Yunliang Marder, Eve |
author_sort | Zang, Yunliang |
collection | PubMed |
description | Biological neurons show significant cell-to-cell variability but have the striking ability to maintain their key firing properties in the face of unpredictable perturbations and stochastic noise. Using a population of multi-compartment models consisting of soma, neurites, and axon for the lateral pyloric neuron in the crab stomatogastric ganglion, we explore how rebound bursting is preserved when the 14 channel conductances in each model are all randomly varied. The coupling between the axon and other compartments is critical for the ability of the axon to spike during bursts and consequently determines the set of successful solutions. When the coupling deviates from a biologically realistic range, the neuronal tolerance of conductance variations is lessened. Thus, the gross morphological features of these neurons enhance their robustness to perturbations of channel densities and expand the space of individual variability that can maintain a desired output pattern. |
format | Online Article Text |
id | pubmed-9974411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-99744112023-03-02 Neuronal morphology enhances robustness to perturbations of channel densities Zang, Yunliang Marder, Eve Proc Natl Acad Sci U S A Biological Sciences Biological neurons show significant cell-to-cell variability but have the striking ability to maintain their key firing properties in the face of unpredictable perturbations and stochastic noise. Using a population of multi-compartment models consisting of soma, neurites, and axon for the lateral pyloric neuron in the crab stomatogastric ganglion, we explore how rebound bursting is preserved when the 14 channel conductances in each model are all randomly varied. The coupling between the axon and other compartments is critical for the ability of the axon to spike during bursts and consequently determines the set of successful solutions. When the coupling deviates from a biologically realistic range, the neuronal tolerance of conductance variations is lessened. Thus, the gross morphological features of these neurons enhance their robustness to perturbations of channel densities and expand the space of individual variability that can maintain a desired output pattern. National Academy of Sciences 2023-02-14 2023-02-21 /pmc/articles/PMC9974411/ /pubmed/36787352 http://dx.doi.org/10.1073/pnas.2219049120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Zang, Yunliang Marder, Eve Neuronal morphology enhances robustness to perturbations of channel densities |
title | Neuronal morphology enhances robustness to perturbations of channel densities |
title_full | Neuronal morphology enhances robustness to perturbations of channel densities |
title_fullStr | Neuronal morphology enhances robustness to perturbations of channel densities |
title_full_unstemmed | Neuronal morphology enhances robustness to perturbations of channel densities |
title_short | Neuronal morphology enhances robustness to perturbations of channel densities |
title_sort | neuronal morphology enhances robustness to perturbations of channel densities |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974411/ https://www.ncbi.nlm.nih.gov/pubmed/36787352 http://dx.doi.org/10.1073/pnas.2219049120 |
work_keys_str_mv | AT zangyunliang neuronalmorphologyenhancesrobustnesstoperturbationsofchanneldensities AT mardereve neuronalmorphologyenhancesrobustnesstoperturbationsofchanneldensities |