Clustering in Globally Coupled Chaotic Circuits with Changing Weights

In this study, we focus on clustering phenomena in a network composed of coupled chaotic circuits. In this circuit network, the coupling strength is reflected by the distance information when the chaotic circuits are placed in a two-dimensional space. We propose a method that applies Hebbian rule to synchronization. Namely, the coupling weights are changed depending on synchronization states. By using the computer simulations, it is confirmed that the proposed methods is more effective than the standard method for clustering.