Nonlinear bias of collective oscillation frequency induced by asymmetric Cauchy noise
arXiv:2501.02291 · doi:10.1063/5.0239363
Abstract
We report the effect of nonlinear bias of the frequency of collective oscillations of sin-coupled phase oscillators subject to individual asymmetric Cauchy noises. The noise asymmetry makes the Ott-Antonsen Ansatz inapplicable. We argue that, for all stable non-Gaussian noises, the tail asymmetry is not only possible (in addition to the trivial shift of the distribution median) but also generic in many physical and biophysical set-ups. For the theoretical description of the effect, we develop a mathematical formalism based on the circular cumulants. The derivation of rigorous asymptotic results can be performed on this basis but seems infeasible in traditional terms of the circular moments (the Kuramoto-Daido order parameters). The effect of the entrainment of individual oscillator frequencies by the global oscillations is also reported in detail. The accuracy of theoretical results based on the low dimensional circular cumulant reductions is validated with the high-accuracy "exact" solutions calculated with the continued fraction method.
14 pages, 6 figures
References in corpus (10)
- Low Dimensional Behavior of Large Systems of Globally Coupled Oscillators
- Partially integrable dynamics of hierarchical populations of coupled oscillators
- Noise-Induced Synchronization of a Large Population of Globally Coupled Nonidentical Oscillators
- Coherent oscillations in balanced neural networks driven by endogenous fluctuations
- Exact finite-dimensional description for networks of globally coupled spiking neurons
- Synchronization of coupled active rotators by common noise
- Effect of Cauchy noise on a network of quadratic integrate-and-fire neurons with non-Cauchy heterogeneities
- Macroscopic behavior of populations of quadratic integrate-and-fire neurons subject to non-Gaussian white noise
- Discrete synaptic events induce global oscillations in balanced neural networks
- Circular cumulant reductions for macroscopic dynamics of oscillator populations with non-Gaussian noise