Title :
Numerical studies of resonance in a sinusoidally driven chaotic neuron model and its network
Author :
Mizutani, Shin ; Sano, Takuya ; Uchiyama, Tadasu ; Sonehara, Noboru ; Shimohara, Katsunori
Author_Institution :
NTT Human Interface Labs., Kanagawa, Japan
Abstract :
We study numerically stochastic resonance (SR) like phenomenon in a chaotic neuron model and its network driven by a weak sinusoid. This resonance phenomenon has a peak at a drive frequency as noise induced SR. However, it has a different mechanism from noise induced SR. The mean field of a summing network can enhance the signal-to-noise ratio (SNR) by the law of large numbers. The mean field of a global coupling network does not enhance the SNR. We discuss the resonance mechanism in the model
Keywords :
chaos; dynamics; neural nets; noise; resonance; global coupling network; numerically stochastic resonance like phenomenon; signal-to-noise ratio; sinusoidally driven chaotic neuron model; summing network; weak sinusoid; Background noise; Chaos; Frequency; Intelligent networks; Laboratories; Neurons; Power system modeling; Signal to noise ratio; Stochastic resonance; Strontium;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616100
