Title :
Synchronization phenomena in pulse-coupled networks driven by spike-train inputs
Author :
Torikai, Hiroyuki ; Saito, Toshimichi
Author_Institution :
Dept. of Electron, Electr. & Comput. Eng., Hosei Univ., Tokyo, Japan
fDate :
3/1/2004 12:00:00 AM
Abstract :
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.
Keywords :
chaos generators; coupled circuits; neural nets; oscillators; pulse circuits; synchronisation; chaotic spike-trains; pulse-coupled networks; simple electrical circuit; spiking oscillator; synchronization phenomena; Associative memory; Biological system modeling; Brain modeling; Chaos; Circuit stability; Circuit testing; Intelligent networks; Oscillators; Personal communication networks; Pulse circuits; Action Potentials; Cortical Synchronization; Neural Networks (Computer);
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2004.824403