Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate

Loïs Naudin

doi:10.1007/s10827-023-00848-w

Journal Articles Journal of Computational Neuroscience Year : 2023

Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate

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2

Loïs Naudin

Function : Author
PersonId : 1119978

Institut de la Vision

Computational Modeling and Experimental Analysis of Normal and Pathological Neural Rhythms for Medical Applications and NeuroRobotics

Abstract

No abstract available

Keywords

Bifurcation structure Conductance-based models Degeneracy Ion channel variability Neuron

Domains

Neuroscience Dynamical Systems [math.DS]

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Degeneracy_paper.pdf (2.26 Mo)

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Loïs NAUDIN : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-04126472

Submitted on : Tuesday, June 13, 2023-12:06:48 PM

Last modification on : Tuesday, March 19, 2024-3:10:51 AM

Long-term archiving on : Thursday, September 14, 2023-6:45:49 PM

Dates and versions

hal-04126472 , version 1 (13-06-2023)

Identifiers

HAL Id : hal-04126472 , version 1
DOI : 10.1007/s10827-023-00848-w
PUBMED : 36905484

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Loïs Naudin. Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate. Journal of Computational Neuroscience, 2023, 51 (2), pp.201-206. ⟨10.1007/s10827-023-00848-w⟩. ⟨hal-04126472⟩

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Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate

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