Pattern Formation in Excitable Neuronal Maps

Fuente: arXiv
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Autores principales: Joshi, Divya D., Sharma, Trupti R., Gade, Prashant M.
Formato: Preprint
Publicado: 2026
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author Joshi, Divya D.
Sharma, Trupti R.
Gade, Prashant M.
author_facet Joshi, Divya D.
Sharma, Trupti R.
Gade, Prashant M.
contents Coupled excitable systems can generate a variety of patterns. In this work, we investigate coupled Chialvo maps in two dimensions under two types of nearest-neighbor couplings. One coupling produces ringlike patterns, while the other produces spirals. The rings expand with increasing coupling, whereas spirals evolve into turbulence and dissipate at stronger coupling. To quantify these patterns, we introduce an analogue of the discriminant of the velocity gradient tensor and examine the persistence of its sign. For ring-type patterns, the persistence decays more slowly than exponentially, often following a power law or stretched exponential. When spiral structures remain intact, persistence saturates asymptotically and can exhibit superposed periodic oscillations, suggesting complex exponents at early times. These behaviors highlight deep connections with the underlying dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2601_21671
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Pattern Formation in Excitable Neuronal Maps
Joshi, Divya D.
Sharma, Trupti R.
Gade, Prashant M.
Statistical Mechanics
Chaotic Dynamics
Pattern Formation and Solitons
Coupled excitable systems can generate a variety of patterns. In this work, we investigate coupled Chialvo maps in two dimensions under two types of nearest-neighbor couplings. One coupling produces ringlike patterns, while the other produces spirals. The rings expand with increasing coupling, whereas spirals evolve into turbulence and dissipate at stronger coupling. To quantify these patterns, we introduce an analogue of the discriminant of the velocity gradient tensor and examine the persistence of its sign. For ring-type patterns, the persistence decays more slowly than exponentially, often following a power law or stretched exponential. When spiral structures remain intact, persistence saturates asymptotically and can exhibit superposed periodic oscillations, suggesting complex exponents at early times. These behaviors highlight deep connections with the underlying dynamics.
title Pattern Formation in Excitable Neuronal Maps
topic Statistical Mechanics
Chaotic Dynamics
Pattern Formation and Solitons
url https://arxiv.org/abs/2601.21671