Multimodal parameter spaces of a complex multi-channel neuron model

Multimodal parameter spaces of a complex multi-channel neuron model

One of the most common types of models that helps us to understand neuron behavior is based on the Hodgkin–Huxley ion channel formulation (HH model). A major challenge with inferring parameters in HH models is non-uniqueness: many different sets of ion channel parameter values produce similar output...

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Bibliographic Details
Main Authors: Y. Curtis Wang, Johann Rudi, James Velasco, Nirvik Sinha, Gideon Idumah, Randall K. Powers, Charles J. Heckman, Matthieu K. Chardon
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Systems Neuroscience
Subjects:
computational neuroscience
parameter estimation
model fitting
Hodgkin–Huxley
Bayesian framework
Markov chain Monte Carlo
Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2022.999531/full

Internet

https://www.frontiersin.org/articles/10.3389/fnsys.2022.999531/full

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