Synchronization, Collective Oscillations, and Information Flow in Duplex Networks

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Authors: Ali Seif, Mina Zarei
Cited by: 0
References: 48

Abstract

In many real-world systems, partial synchronization is the dominant dynamical regime and, in systems such as the brain, is often accompanied by collective oscillations in which multiple overlapping modes interact to produce complex rhythmic activity. Here, we investigate duplex networks with reactive interlayer links, where full synchronization cannot be achieved. We show that when interlayer frequency differences between mirror nodes are uniformly distributed with sufficient width, the network self-organizes into collective macroscopic oscillations composed of multiple interacting modes. By linking macroscopic phase transitions to microscopic directed information transfer between nodes, we uncover the mechanisms underlying the emergence of these multimodal dynamics.

Fields of Study & Subjects

Nonlinear Dynamics and Pattern Formation Neural dynamics and brain function Complex Network Analysis Techniques

Publication details

Journal / source
arXiv (Cornell University)
Publication date
27 February 2026
Language
EN
Document type
Preprint