Noise-dependent stability of the synchronized state in a coupled system of active rotators
Sebastian F. Brandt, Axel Pelster, Ralf Wessel

TL;DR
This paper investigates how noise influences the stability of synchronization in a coupled active rotator system, revealing that intermediate noise levels maximize the stability of the synchronized state.
Contribution
It provides a combined numerical and analytical analysis of noise-dependent synchronization stability in a two-rotator Kuramoto model.
Findings
Synchronization is most stable at intermediate noise levels.
The phase boundary between synchronized and desynchronized states is characterized.
Analytical calculations support numerical results.
Abstract
We consider a Kuramoto model for the dynamics of an excitable system consisting of two coupled active rotators. Depending on both the coupling strength and the noise, the two rotators can be in a synchronized or desynchronized state. The synchronized state of the system is most stable for intermediate noise intensity in the sense that the coupling strength required to desynchronize the system is maximal at this noise level. We evaluate the phase boundary between synchronized and desynchronized states through numerical and analytical calculations.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Complex Systems and Time Series Analysis · Neural dynamics and brain function
