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

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4 Author(s)
Gabriela E. Soares ; Intell. Syst. Lab., Fed. Center of Technol. Educ. of Minas Gerais, Belo Horizonte, Brazil ; Henrique E. Borges ; Rogerio M. Gomes ; Geraldo M. C. Oliveira

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.

Published in:

2010 Eleventh Brazilian Symposium on Neural Networks

Date of Conference:

23-28 Oct. 2010