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

机译:基于遗传算法的自组织尖峰神经元网络中神经元群的出现

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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.
机译:基于由Edelman提出的神经元群选择(TNG)的理论,分析了由一百个Izhikevich尖峰神经元组成的网络。在该研究中,遗传算法用于估计IzhikeVich神经元模型参数,以使神经网络的自组织能够以预定义的频率在同步振荡和振荡的紧密耦合神经单元集群中。

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