DocumentCode :
582814
Title :
Vibrational resonance on modular neuronal networks
Author :
Chen, Liu ; Jiang, Wang ; Haitao, Yu ; Bin, Deng ; Xile, Wei
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
7388
Lastpage :
7392
Abstract :
In this paper, the phenomenon of vibrational resonance is explored in a modular neuronal network of small-world subnetworks. This effect of vibrational resonances of neuronal system depends extensively on the network structure and parameters. Only with optimal values of coupling strengths, link probability and scale of the modular neural network, the network can largely enhance the outreach of the localized subthreshold low-frequency signal.
Keywords :
neurocontrollers; nonlinear systems; coupling strengths; link probability; localized subthreshold low-frequency signal; modular neural network; modular neuronal networks; small-world subnetworks; vibrational resonance; Biological neural networks; Couplings; Neurons; Noise; Resonant frequency; Stochastic resonance; modular; small-world; subnetwork; vibrational resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6391248
Link To Document :
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