Diversity-induced synchronized oscillations in close-to-threshold excitable elements arranged on regular networks: effects of network topology
I. Vragovi\'c (1), E. Louis (1), C. D. E. Boschi (2), G. J. Ortega, (3) ((1) Departamento de Fisica Aplicada, Instituto Universitario de, Materiales, Unidada Asociada CSIC-UA, Universidad de Alicante, Spain. (2), INFM Research Unit of Bologna, Bologna

TL;DR
This study investigates how network topology affects synchronized oscillations in excitable elements, revealing that shorter average path lengths and lower path length variability enhance synchronization, with local clustering being less influential.
Contribution
It demonstrates the significant impact of global network properties like average path length and path length distribution on synchronization in excitable media.
Findings
Shorter average path length improves synchronization.
Lower standard deviation of path lengths enhances oscillatory behavior.
Local clustering coefficient has less impact on synchronization.
Abstract
The question of how network topology influences emergent synchronized oscillations in excitable media is addressed. Coupled van der Pol-FitzHugh-Nagumo elements arranged either on regular rings or on clusters of the square lattice are investigated. Clustered and declustered rings are constructed to have the same number of next-nearest-neighbors (four) and a number of links twice that of nodes. The systems are chosen to be close-to-threshold, allowing global oscillations to be triggered by a weak diversity among the constituents that, by themselves, would be non-oscillating. The results clearly illustrate the crucial role played by network topology. In particular we found that network performance (oscillatory behavior and synchronization) is mainly determined by the network average path length and by the standard deviation of path lengths. The shorter the average path length and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural dynamics and brain function · stochastic dynamics and bifurcation
