Metastability of multi-population Kuramoto-Sakaguchi oscillators

TL;DR

This paper investigates the complex metastable behaviors of multi-population Kuramoto-Sakaguchi oscillators, revealing diverse spatiotemporal patterns and transitions influenced by phase-lag, with implications for understanding brain network dynamics.

Contribution

It provides a detailed analysis of metastability and pattern formation in multi-population oscillators using Ott-Antonsen reduction, highlighting the role of phase-lag in collective dynamics.

Findings

Identified various stable and metastable states including coherent, traveling waves, and incoherent states.

Discovered phase-lag ranges where metastable transitions are most frequent.

Linked the oscillator dynamics to brain activity patterns.

Abstract

An Ott-Antonsen reduced $M$-population of Kuramoto-Sakaguchi oscillators is investigated, focusing on the influence of the phase-lag parameter $\alpha$ on the collective dynamics. For oscillator populations coupled on a ring, we obtained a wide variety of spatiotemporal patterns, including coherent states, traveling waves, partially synchronized states, modulated states, and incoherent states. Back-and-forth transitions between these states are found, which suggest metastability. Linear stability analysis reveals the stable regions of coherent states with different winding numbers $q$. Within certain $\alpha$ ranges, the system settles into stable traveling wave solutions despite the coherent states also being linearly stable. For around $\alpha \approx 0.46\pi$, the system displays the most frequent metastable transitions between coherent states and partially synchronized states, while for $\alpha$ closer to $\pi/2$, metastable transitions arise between partially synchronized states and modulated states. This model captures metastable dynamics akin to brain activity, offering insights into the synchronization of brain networks.