Laws of mutual spiral wave interaction in excitable media
Tim De Coster, Arstanbek Okenov, Debora Hoogendijk, Arman Nobacht, Mathilde Rivaud, Antoine de Vries, Dani\"el Pijnappels, Vivi Rottsch\"afer, Hans Dierckx

TL;DR
This paper develops a law analogous to Newton's gravitational law to describe the interactions and drift of spiral waves in excitable media, with implications for understanding complex systems like cardiac fibrillation.
Contribution
It introduces a novel framework for quantifying spiral wave interactions using a force-based approach, extending the understanding of spiral dynamics in reaction-diffusion systems.
Findings
Spiral wave interactions are governed by forces determined through boundary integrals.
The spiral 'mass' varies over time and depends on the region of influence.
The interaction forces do not obey Newton's action-reaction law.
Abstract
Interacting rotating spiral waves have been observed in complex systems, such as cardiac fibrillation, cognitive processing in the brain cortex and oscillating chemical reactions, during dynamical regimes that are still poorly understood. We present the equivalent of Newton's gravitational attraction law for spiral waves on planar reaction-diffusion systems. The spiral waves' phases and positions determine their regions of influence, separated by collision interfaces. At the collision interfaces, wave front deflections cause spiral drift that pushes the interfaces forward. As a result, the spiral wave drift velocity is proportional to the total force exerted on on it, which can be determined by a boundary integral over its region of influence. The proportionality factor between force and response is akin to the `mass' of the spiral. However, this spiral mass depends on the region of…
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 · Chaos control and synchronization · Neural dynamics and brain function
