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1 Journal of Artificial Intelligence and Soft Computing Research

1 2015

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Chaotic states induced by resetting process in Izhikevich neuron model

Nobukawa S., Nishimura H., Yamanishi T., Liu J.-Q.

Journal of Artificial Intelligence and Soft Computing Research

2015

Vol. 5, No. 2

109--119

Several hybrid neuron models, which combine continuous spike-generation mechanisms and discontinuous resetting process after spiking, have been proposed as a simple transition scheme for membrane potential between spike and hyperpolarization. As one of the hybrid spiking neuron models, Izhikevich neuron model can reproduce major spike patterns observed in the cerebral cortex only by tuning a few parameters and also exhibit chaotic states in specific conditions. However, there are a few studies concerning the chaotic states over a large range of parameters due to the difficulty of dealing with the state dependent jump on the resetting process in this model. In this study, we examine the dependence of the system behavior on the resetting parameters by using Lyapunov exponent with saltation matrix and Poincar´e section methods, and classify the routes to chaos.