Resilience of the slow component in timescale separated synchronized oscillators

Author:

Melvyn Tyloo

Keyword:

Nonlinear Sciences, Adaptation and Self-Organizing Systems, Adaptation and Self-Organizing Systems (nlin.AO), Disordered Systems and Neural Networks (cond-mat.dis-nn), Pattern Formation and Solitons (nlin.PS)

journal:

date:

2024-03-08 00:00:00

Abstract

Physiological networks are usually made of a large number of biological oscillators evolving on a multitude of different timescales. Phase oscillators are particularly useful in the modelling of the synchronization dynamics of such systems. If the coupling is strong enough compared to the heterogeneity of the internal parameters, synchronized states might emerge where phase oscillators start to behave coherently. Here, we focus on the case where synchronized oscillators are divided into a fast and a slow component so that the two subsets evolve on separated timescales. We assess the resilience of the slow component by reducing the dynamics of the fast one and evaluating the variance of the phase deviations when the oscillators in the two components are subject to noise with possibly distinct correlation times. From the general expression for the variance, we consider specific network structures and show how the noise transmission between the fast and slow components is affected. Interestingly, we find that oscillators that are among the most robust when there is only a single timescale, might become the most vulnerable when the system separates into two timescales. We also find that layered networks seem to be insensitive to timescale separations when the noise has homogeneous correlation time.

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