Open AccessA Quantitative Model of Human Jejunal Smooth Muscle Cell Electrophysiology
Author(s) -
Weiwei Ai,
David Nickerson
Publication year - 2021
Publication title -
physiome
Language(s) - English
Resource type - Journals
ISSN - 2744-6204
DOI - 10.36903/physiome.16590317.v1
Subject(s) - electrophysiology , formalism (music) , computer science , markov chain , clamping , theoretical computer science , biological system , neuroscience , biology , machine learning , computer vision , art , musical , visual arts
The Poh et al. (2012) paper describes the first biophysically based computational model of human jejunal smooth muscle cell (hJSMC) electrophysiology. The ionic currents are described by either a traditional Hodgkin-Huxley (HH) formalism or a deterministic multi-state Markov (MM) formalism. We create a modularized CellML implementation of the model, which is able to reproduce clamping behaviours of individual currents and whole cell action potential traces. In addition, some inconsistencies have been uncovered and discussed in this paper.