Synchronization, Collective Oscillations, and Information Flow in Duplex Networks
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