Network self-organization through “small-worlds” topologies

“Small-worlds” lattices have been investigated in order to underline self-organizing properties versus structure features of neural networks. The Hindmarsh–Rose model of biological neuron, showing a chaotic behavior, has been chosen as fundamental unit. Introducing small amount of long-term connections in high clustered structures, the complete regularization has been reached with a decreased minimum number of connections.