Algorithmic Parameter Estimation and Uncertainty Quantification for Hodgkin-Huxley Neuron Models
Yearnchee Curtis Wang, Nirvik Sinha, Johann Rudi, James Velasco, Gideon Idumah, Randall K. Powers, Charles J. Heckman, Matthieu K. Chardon
The paper introduces a Bayesian MCMC method with adaptive parallel tempering to estimate parameters and quantify uncertainty in Hodgkin-Huxley neuron models using voltage trace data.
bioRxiv · Nov 18, 2021 · PreprintNeuroscience