A Stochastic Model of Intracellular Calcium Concentrations
Abstract
In this paper, we study a slow-fast model of Intracellular Calcium Concentrations (ICC) within a stochastic framework, where stochastic perturbations are introduced to capture the intrinsic randomness of such biological systems. We first analyse the three-dimensional single-cell model, based on the FitzHugh-Nagumo structure, and subsequently extend the analysis to a coupled two-cell six-dimensional setting. We prove existence and uniqueness of solutions and establish positivity of the calcium variable. We obtain explicit mean-square stability estimates around deterministic equilibria and quantify how they depend on the noise intensity. Numerical simulations for both the single-cell and coupled systems illustrate relevant qualitative behaviours and reveal additional dynamical features arising in the stochastic framework.
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BibTeX
@misc{caraballo2026stochastic,
title = {{A Stochastic Model of Intracellular Calcium Concentrations}},
author = {Tomás Caraballo and Macarena Gómez-Mármol and Ignacio Roldán},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.13213},
eprint = {2609.13213},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.13213},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A Stochastic Model of Intracellular Calcium Concentrations
AU - Tomás Caraballo
AU - Macarena Gómez-Mármol
AU - Ignacio Roldán
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.13213
UR - https://arxiv.org/abs/2609.13213
AB - In this paper, we study a slow-fast model of Intracellular Calcium Concentrations (ICC) within a stochastic framework, where stochastic perturbations are introduced to capture the intrinsic randomness of such biological systems. We first analyse the three-dimensional single-cell model, based on the FitzHugh-Nagumo structure, and subsequently extend the analysis to a coupled two-cell six-dimensional setting. We prove existence and uniqueness of solutions and establish positivity of the calcium variable. We obtain explicit mean-square stability estimates around deterministic equilibria and quantify how they depend on the noise intensity. Numerical simulations for both the single-cell and coupled systems illustrate relevant qualitative behaviours and reveal additional dynamical features arising in the stochastic framework.
ER -