Simulation of SPDE's for Excitable Media using Finite Elements
Boulakia Muriel, Genadot Alexandre, Thieullen Mich\`ele

TL;DR
This paper presents a finite element-based numerical scheme for simulating stochastic PDEs in excitable media, focusing on pattern formation like reentrant waves in biological models.
Contribution
It introduces a finite element discretization method for SPDEs driven by colored noise, applied to biological excitable media models.
Findings
Reentrant patterns emerge in simulations of excitable media.
Finite element method effectively captures stochastic effects.
Numerical results align with biological phenomena.
Abstract
In this paper, we address the question of the discretization of Stochastic Partial Differential Equations (SPDE's) for excitable media. Working with SPDE's driven by colored noise, we consider a numerical scheme based on finite differences in time (Euler-Maruyama) and finite elements in space. Motivated by biological considerations, we study numerically the emergence of reentrant patterns in excitable systems such as the Barkley or Mitchell-Schaeffer models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications
