A stochastic phase model with reflective boundary and induced beating for the cardiac muscle cells
Guanyu Zhou, Tatsuya Hayashi, Tetsuji Tokihiro

TL;DR
This paper develops a stochastic phase model for cardiac muscle cells that incorporates refractory periods and induced beating, providing analytical results for beating intervals and synchronization behavior.
Contribution
It extends existing models by including irreversibility, refractory effects, and induced beating, offering new analytical insights and PDEs for synchronization analysis.
Findings
Closed-form expectation and variance for single-cell beating intervals.
Derived PDEs for expected synchronized beating intervals and phase distribution.
Established CV bounds and improved analysis for coupled cell synchronization.
Abstract
We consider the stochastic phase models for the community effect of cardiac muscle cells. The model is the extension of the stochastic integrate-and-fire model in which we incorporate the irreversibility after beating, induced beating and refractory. We focus on investigating the expectation and variance of (synchronized) beating interval. In particular, for the single-isolated cell, we obtain the closed-form expectation and variance of the beating interval, and we discover that the coefficient of variance (CV) has upper limit . For two-coupled cells, we derive the partial differential equations (PDEs) for the expected synchronized beating intervals and the distribution density of phase. Moreover, we also consider the conventional Kuramoto model for both two- and -cells models, where we establish a new analysis using stochastic calculus to obtain the CV of the…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Gene Regulatory Network Analysis · stochastic dynamics and bifurcation
