Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2012-04-17
Nonlinear Sciences
Chaotic Dynamics
14 pages, 5 figures
Scientific paper
An analogy between crowd synchrony and multi-layer neural network architectures is proposed. It indicates that many non-identical dynamical elements (oscillators) communicating indirectly via a few mediators (hubs) can synchronize when the number of delayed couplings to the hubs or the strength of the couplings is large enough. This phenomenon is modeled using a system of semiconductor lasers optically delay-coupled in either a fully connected or a diluted manner to a fixed number of non-identical central hub lasers. A universal phase transition to crowd synchrony with hysteresis is observed, where the time to achieve synchronization diverges near the critical coupling independent of the number of hubs.
Cohen Elad
Kanter Ido
Rosenbluh Michael
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