- Tytuł:
- Chaotic states induced by resetting process in Izhikevich neuron model
- Autorzy:
-
Nobukawa, S.
Nishimura, H.
Yamanishi, T.
Liu, J.-Q. - Powiązania:
- https://bibliotekanauki.pl/articles/91800.pdf
- Data publikacji:
- 2015
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
hybrid neuron model
Izhikevich neuron model
chaotic states
Poincar´e section method
Lyapunov method
hybrydowy model neuronowy
model neuronu Izhikevicha
stany chaotyczne
metoda przekroju Poincarego
metoda Lapunowa - Opis:
- 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.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2015, 5, 2; 109-119
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł