Synchronization phenomena in pulse-coupled networks driven by spike-train inputs.
We present a pulse-coupled network (PCN) of spiking oscillators (SOCs) which can be implemented as a simple electrical circuit. The SOC has a periodic reset level that can realize rich dynamics represented by chaotic spike-trains. Applying a spike-train input, the PCN can exhibit the following interesting phenomena. 1) Each SOC synchronizes with a part of the input without overlapping, i.e., the input is decomposed. 2) Some SOCs synchronize with a part of the input with overlapping, i.e., the input is decomposed and the SOCs are clustered. The PCN has multiple synchronization phenomena and exhibits one of them depending on the initial state. We clarify the numbers of the synchronization phenomena and the parameter regions in which these phenomena can be observed. Also stability of the synchronization phenomena is clarified. Presenting a simple test circuit, typical phenomena are confirmed experimentally.
Torikai
Hiroyuki
H
Department of Electronics, Electrical and Computer Engineering, Hosei University, Koganei, Tokyo 184-8584, Japan. torikai@k.hosei.ac.jp
Saito
Toshimichi
T
D000200:Action Potentials; D003344:Cortical Synchronization; D016571:Neural Networks, Computer