Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm

Soares, G.E.Borges, H.E.Gomes, R.M.Oliveira, G.M.C.

Based on the Theory of Neuronal Group Selection (TNGS), proposed by Edelman, a network composed of one hundred Izhikevich spiking neurons is analyzed. In this study, a genetic algorithm is used to estimate the Izhikevich neuron model parameters in order to enable the self-organization of a neural network into a cluster of tightly coupled neural cells which fire and oscillate in synchrony at a predefined frequency.

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