Emergence of synchronicity in a self-organizing spiking neuron network: An approach via genetic algorithms

Natural Computing

Volumn 11, Issue 3, 2012, Pages 405-413

  Soares, Gabriela E ^a   Borges, Henrique E ^a   Gomes, Rogério M ^a   Zeferino, Gustavo M ^a   Braga, Antônio P ^b  

^a CENTRO FEDERAL DE EDUCAÇÃO TECNOLÓGICA DE MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Genetic algorithm; Neural networks; Neuronal groups; Spiking neurons; TNGS

Indexed keywords

COMPUTATIONAL EXPERIMENT; CORTICAL AREAS; NEURAL CELLS; NEURONAL GROUPS; SELF ORGANIZING; SINGLE NEURON; SPIKING NEURON; SPIKING NEURON MODELS; SPIKING NEURON NETWORKS; THEORY OF NEURONAL GROUP SELECTIONS; TIGHTLY-COUPLED; TNGS;

BRAIN; DAMAGE DETECTION; GENETIC ALGORITHMS; NEURONS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPUTER ANALYSIS; COMPUTER MODEL; COMPUTER SIMULATION; CONFERENCE PAPER; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; NERVE CELL PLASTICITY; SPIKE WAVE; THEORY; THEORY OF NEURONAL GROUP SELECTION;

EID: 84870843821     PISSN: 15677818     EISSN: 15729796     Source Type: Journal    
DOI: 10.1007/s11047-011-9288-3     Document Type: Conference Paper

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