“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.
Network Self-Organization through "Small-Worlds" Topologies
BUCOLO, MAIDE ANGELA RITA;FORTUNA, Luigi;
2002-01-01
Abstract
“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.File in questo prodotto:
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