Parallel Tempering MCMC on Liu et al 1998 (Wang et al 2022)

"... we propose using a particular Markov chain Monte Carlo (MCMC) algorithm, which has the advantage of inferring parameters in a Bayesian framework. The Bayesian approach is designed to be suitable for multimodal solutions to inverse problems. We introduce and demonstrate the method using a three-channel HH model. We then focus on the inference of nine parameters in an eight-channel HH model, which we analyze in detail. We explore how the MCMC algorithm can uncover complex relationships between inferred parameters using five injected current levels. The MCMC method provides as a result a nine-dimensional posterior distribution, which we analyze visually with solution maps or landscapes of the possible parameter sets..."

Cell Type(s): Hodgkin-Huxley neuron

Currents: I A; I Calcium; I K,Ca; I_K,Na

Simulation Environment: Python


Wang YC et al. (2022). Multimodal parameter spaces of a complex multi-channel neuron model Frontiers in systems neuroscience. 16 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.