Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zang, Yunliang, Marder, Eve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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
_version_ 1784898720496615424
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