Scroll Waves and Filaments in excitable Media of higher spatial Dimension
Marie Cloet, Louise Arno, Desmond Kabus, Joeri Van der Veken,, Alexander V. Panfilov, Hans Dierckx

TL;DR
This paper extends the concept of scroll waves and filaments to higher-dimensional excitable media, using numerical simulations and mathematical analysis to explore their properties and potential biological relevance.
Contribution
It introduces a framework for understanding scroll waves in four or more dimensions and derives evolution equations for superfilaments as minimal surfaces in N-dimensional space.
Findings
Vortices rotate around a superfilament in four-dimensional simulations.
Superfilaments are shown to be minimal surfaces in N-dimensional space.
Biological systems may be modeled as multidimensional excitable media.
Abstract
Excitable media are ubiquitous in nature, and in such systems the local excitation tends to self-organize in traveling waves, or in rotating spiral-shaped patterns in two or three spatial dimensions. Examples include waves during a pandemic or electrical scroll waves in the heart. Here we show that such phenomena can be extended to a space of four or more dimensions and propose that connections of excitable elements in a network setting can be regarded as additional spatial dimensions. Numerical simulations are performed in four dimensions using the FitzHugh-Nagumo model, showing that the vortices rotate around a two-dimensional surface which we define as the superfilament. Evolution equations are derived for general superfilaments of co-dimension two in an N -dimensional space and their equilibrium configurations are proven to be minimal surfaces. We suggest that biological excitable…
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
TopicsNonlinear Dynamics and Pattern Formation · Opinion Dynamics and Social Influence · stochastic dynamics and bifurcation
