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Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons

Hippocampal pyramidal neurons are endowed with signature excitability characteristics, exhibit theta-frequency selectivity — manifesting as impedance resonance and as a band-pass structure in the spike-triggered average (STA) — and coincidence detection tuned for gamma-frequency inputs. Are there sp...

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Autores principales: Jain, Abha, Narayanan, Rishikesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962224/
https://www.ncbi.nlm.nih.gov/pubmed/31941985
http://dx.doi.org/10.1038/s41598-019-57243-8
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author Jain, Abha
Narayanan, Rishikesh
author_facet Jain, Abha
Narayanan, Rishikesh
author_sort Jain, Abha
collection PubMed
description Hippocampal pyramidal neurons are endowed with signature excitability characteristics, exhibit theta-frequency selectivity — manifesting as impedance resonance and as a band-pass structure in the spike-triggered average (STA) — and coincidence detection tuned for gamma-frequency inputs. Are there specific constraints on molecular-scale (ion channel) properties in the concomitant emergence of cellular-scale encoding (feature detection and selectivity) and excitability characteristics? Here, we employed a biophysically-constrained unbiased stochastic search strategy involving thousands of conductance-based models, spanning 11 active ion channels, to assess the concomitant emergence of 14 different electrophysiological measurements. Despite the strong biophysical and physiological constraints, we found models that were similar in terms of their spectral selectivity, operating mode along the integrator-coincidence detection continuum and intrinsic excitability characteristics. The parametric combinations that resulted in these functionally similar models were non-unique with weak pair-wise correlations. Employing virtual knockout of individual ion channels in these functionally similar models, we found a many-to-many relationship between channels and physiological characteristics to mediate this degeneracy, and predicted a dominant role for HCN and transient potassium channels in regulating hippocampal neuronal STA. Our analyses reveals the expression of degeneracy, that results from synergistic interactions among disparate channel components, in the concomitant emergence of neuronal excitability and encoding characteristics.
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spelling pubmed-69622242020-01-23 Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons Jain, Abha Narayanan, Rishikesh Sci Rep Article Hippocampal pyramidal neurons are endowed with signature excitability characteristics, exhibit theta-frequency selectivity — manifesting as impedance resonance and as a band-pass structure in the spike-triggered average (STA) — and coincidence detection tuned for gamma-frequency inputs. Are there specific constraints on molecular-scale (ion channel) properties in the concomitant emergence of cellular-scale encoding (feature detection and selectivity) and excitability characteristics? Here, we employed a biophysically-constrained unbiased stochastic search strategy involving thousands of conductance-based models, spanning 11 active ion channels, to assess the concomitant emergence of 14 different electrophysiological measurements. Despite the strong biophysical and physiological constraints, we found models that were similar in terms of their spectral selectivity, operating mode along the integrator-coincidence detection continuum and intrinsic excitability characteristics. The parametric combinations that resulted in these functionally similar models were non-unique with weak pair-wise correlations. Employing virtual knockout of individual ion channels in these functionally similar models, we found a many-to-many relationship between channels and physiological characteristics to mediate this degeneracy, and predicted a dominant role for HCN and transient potassium channels in regulating hippocampal neuronal STA. Our analyses reveals the expression of degeneracy, that results from synergistic interactions among disparate channel components, in the concomitant emergence of neuronal excitability and encoding characteristics. Nature Publishing Group UK 2020-01-15 /pmc/articles/PMC6962224/ /pubmed/31941985 http://dx.doi.org/10.1038/s41598-019-57243-8 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
Jain, Abha
Narayanan, Rishikesh
Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title_full Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title_fullStr Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title_full_unstemmed Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title_short Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
title_sort degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962224/
https://www.ncbi.nlm.nih.gov/pubmed/31941985
http://dx.doi.org/10.1038/s41598-019-57243-8
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