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July 1, 2026PLoS Computational BiologyOpen Access

Neuronal excitability and parameter variability in the Hodgkin-Huxley model

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Authors

AKAlon Korngreen

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Overview

Randomized trial reveals firing patterns in Hodgkin-Huxley model neurons, suggesting complex parameter interactions.

Key Points

  • This study aims to integrate uncertainty in fitted parameters into the Hodgkin-Huxley model to understand neuronal behavior better.
  • Digitized sodium and potassium rate-constant data from original figures.
  • Employed bootstrap resampling for uncertainty estimation.
  • Conducted Monte Carlo simulations on a spatially extended squid axon cable model.
  • Firing behaviors varied amongst neurons: non-firing, phasic, regular, and spontaneous activity observed.
  • The canonical Hodgkin-Huxley parameter set represented a minority within the firing subpopulation.
  • Global sensitivity analysis indicated strong interactions among parameters influence neuronal excitability.

Cite This Study

Alon Korngreen (2026) studied this question.

synapsesocial.com/papers/6a44ae315cd2549c8bc43877https://doi.org/10.1371/journal.pcbi.1014458
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Also Consider

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  1. 1Mathematical Neuroscience of Neuronal Excitability Spectral Stability, Critical Slowing, and Nonlinear Transitions in the Hodgkin–Huxley Model2026
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  4. 4Asymptotic properties of mathematical models of excitability2006 · 26 citations
  5. 5Temperature-Induced Bifurcations and Timescale Warping in the Hodgkin-Huxley Model: Dynamical Systems Insights into Temperature Modulation of Neuronal Excitability and Action Potential Morphology2025