Title :
Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm
Author :
Soares, Gabriela E. ; Borges, Henrique E. ; Gomes, Rogério M. ; Oliveira, Geraldo M C
Author_Institution :
Intell. Syst. Lab., Fed. Center of Technol. Educ. of Minas Gerais, Belo Horizonte, Brazil
Abstract :
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.
Keywords :
genetic algorithms; self-organising feature maps; Izhikevich spiking neuron; genetic algorithm; neuronal group; selforganized spiking neurons network; theory of neuronal group selection; Artificial neural networks; Biological system modeling; Computational modeling; Frequency synchronization; Mathematical model; Neurons; Wave functions; genetic algorithm; neural networks; spiking neuron;
Conference_Titel :
Neural Networks (SBRN), 2010 Eleventh Brazilian Symposium on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4244-8391-4
Electronic_ISBN :
1522-4899
DOI :
10.1109/SBRN.2010.16
