English

Emergent excitability in adaptive networks of non-excitable units

Adaptation and Self-Organizing Systems 2025-05-29 v1 Disordered Systems and Neural Networks Chaotic Dynamics

Abstract

Population bursts in a large ensemble of coupled elements result from the interplay between the local excitable properties of the nodes and the global network topology. Here collective excitability and self-sustained bursting oscillations are shown to spontaneously emerge in adaptive networks of globally coupled non-excitable units. The ingredients to observe collective excitability are the coexistence of states with different degree of synchronizaton joined to a global feedback acting, on a slow timescale, against the synchronization (desynchronization) of the oscillators. These regimes are illustrated for two paradigmatic classes of coupled rotators: namely, the Kuramoto model with and without inertia. For the bimodal Kuramoto model we analytically show that the macroscopic evolution originates from the existence of a critical manifold organizing the fast collective dynamics on a slow timescale. Our results provide evidence that adaptation can induce excitability by maintaining a network permanently out-of-equilibrium.

Keywords

Cite

@article{arxiv.2010.06249,
  title  = {Emergent excitability in adaptive networks of non-excitable units},
  author = {Marzena Ciszak and Francesco Marino and Alessandro Torcini and Simona Olmi},
  journal= {arXiv preprint arXiv:2010.06249},
  year   = {2025}
}

Comments

6 pages, 5 figures