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Related Experiment Video

Updated: Jul 1, 2026

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
08:44

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

Published on: October 17, 2025

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

Alon Korngreen1,2

  • 1The Leslie and Susan Gonda Interdisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel.

Plos Computational Biology
|June 29, 2026
PubMed
Summary

This study reframes the Hodgkin-Huxley neuron model, incorporating parameter uncertainty to reveal a diverse population of firing behaviors. It shows that neuronal excitability arises from complex parameter interactions, not a single set of values.

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Published on: May 9, 2021

Area of Science:

  • Computational Neuroscience
  • Biophysics
  • Systems Neuroscience

Background:

  • Neuron models traditionally reduce complex data to single parameter sets, ignoring experimental variability.
  • This simplification obscures how robustness and degeneracy arise in excitable systems.

Purpose of the Study:

  • To reintroduce parameter uncertainty into the Hodgkin-Huxley model.
  • To analyze the impact of this uncertainty on neuronal excitability and firing patterns using global sensitivity analysis.

Main Methods:

  • Digitized Hodgkin-Huxley rate-constant data and used bootstrap resampling for parameter uncertainty.
  • Employed large-scale Monte Carlo simulations on a squid axon cable model.
  • Utilized first-order and total-order Sobol sensitivity indices to analyze parameter contributions.

Main Results:

  • Simulations generated a heterogeneous population of firing behaviors (non-firing, phasic, regular, spontaneous).
  • The canonical Hodgkin-Huxley parameters represented a minority subpopulation, not a unique solution.
  • Neuronal excitability was primarily governed by strong interactions among all parameters, indicated by large total-order Sobol indices.

Conclusions:

  • The Hodgkin-Huxley model should be viewed as an ensemble of behaviors constrained by experimental data.
  • Physiologically relevant firing patterns emerge from specific regions within the parameter space.
  • Parameter interactions, not individual parameters, are key drivers of neuronal excitability.