Rapidly forming, slowly evolving, spatial patterns from quasi-cycle Mexican Hat coupling
Priscilla E. Greenwood, Lawrence M. Ward

TL;DR
This paper investigates how stochastic quasi-cycle oscillations coupled with Mexican Hat interactions produce rapidly forming, slowly evolving spatial patterns and phase synchronization in neural systems, with distinct behaviors in one and two dimensions.
Contribution
It introduces a novel analysis of quasi-cycle oscillations with Mexican Hat coupling, revealing their role in neural pattern formation and phase synchronization.
Findings
Phase synchronization occurs rapidly at weak coupling in 1D.
Amplitude patterns form more quickly in 2D, sometimes without phase patterns.
Higher coupling strengths lead to both phase and amplitude pattern formation.
Abstract
A lattice-indexed family of stochastic processes has quasi-cycle oscillations if its otherwise-damped oscillations are sustained by noise. Such a family performs the reaction part of a discrete stochastic reaction-diffusion system when we insert a local Mexican Hat-type, difference of Gaussians, coupling on a one-dimensional and on a two-dimensional lattice. Quasi-cycles are a proposed mechanism for the production of neural oscillations, and Mexican Hat coupling is ubiquitous in the brain. Thus this combination might provide insight into the function of neural oscillations in the brain. Importantly, we study this system only in the transient case, on time intervals before saturation occurs. In one dimension, for weak coupling, we find that the phases of the coupled quasi-cycles synchronize (establish a relatively constant relationship, or phase lock) rapidly at coupling strengths lower…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural dynamics and brain function · stochastic dynamics and bifurcation
