Title :
Interaction between signals at different intrinsic frequencies of chain-connected neural network
Author :
Xiuyu, Jiang ; Jiang, Wang ; Ruofan, Wang ; Bin, Deng ; Xile, Wei
Author_Institution :
Comput. Center, Anshan Normal Univ., Anshan, China
Abstract :
With the help of noise, the frequency of input signal which is close to that of the intrinsic oscillation of FHN model will enhance the stochastic resonance of the model. We attribute this phenomenon to the external frequency meeting the “intrinsic frequencies” of the model. In this paper, the noisy chain-connected network of FHN neurons with degree being 10, 30, 70 and 100 is established for studying in the noisy FHN chain, the interaction between the two intrinsic frequencies, namely, the nature frequency and the “Canard resonance frequency”(CRF), which locate in the region of [1.7, 1.9] and [3.6, 4.0], respectively. Key Words: stochastic resonance (SR), FHN, intrinsic frequency, noise, Canard.
Keywords :
neural nets; resonance; signal processing; stochastic processes; CRF; Canard resonance frequency; FHN model; external frequency; input signal frequency; intrinsic oscillation frequencies; model stochastic resonance enhancement; nature frequency; noisy FHN chain; noisy chain-connected neural network; signal interaction; Frequency synchronization; Neurons; Noise; Oscillators; Resonant frequency; Stochastic resonance; Synchronization;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3