Title :
Chaotic resonance in Izhikevich neuron model and its assembly
Author :
Nobukawa, Sou ; Nishimura, Hideki ; Yamanishi, Tomonori ; Jian-Qin Liu
Author_Institution :
Grad. Sch. of Appl. Inf., Univ. of Hyogo, Kobe, Japan
Abstract :
Chaotic Resonance (CR) is known as a phenomenon like Stochastic Resonance (SR) without stochastic noise. SR in which the presence of noise helps a nonlinear system in amplifying a weak (under barrier) signal has been observed in neural systems. However CR has scarcely been examined in the neural systems and recently the concern with the responses in CR in neural systems has been growing. In this paper, we evaluate the signal response in CR in the promising Izhikevich neuron model and its assembly. It is confirmed that chaotic states in CR can respond to the weak signal which is not able to be sensed by periodic stable states.
Keywords :
chaos; neural nets; Izhikevich neuron model; chaotic resonance; neural system; nonlinear system; phenomenon like stochastic resonance; signal response;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505173
