Stochastic resonance in a neuron model that transmits spike trains

1996 ◽  
Vol 53 (1) ◽  
pp. 1273-1275 ◽  
Author(s):  
François Chapeau-Blondeau ◽  
Xavier Godivier ◽  
Nicolas Chambet
2010 ◽  
Vol 439-440 ◽  
pp. 1324-1327
Author(s):  
Guo Hua Hui

Virtual-switch characteristics of noise-induced stochastic resonance using leaky integrate-and-fire (LIF) model was focused in this article. For LIF neuron model, Gaussian white noise was added to the simulating system. The condition of spike-starting was studied through the system. With the increase of noise intensity, the stimulated spikes became more and more intensive. With proper white noise intensity, the amount of excitatory spikes was enough to generate spike trains. We expected to design a virtual-switch utilizing this mechanism for neural data processing field.


2017 ◽  
Vol 37 (1) ◽  
pp. 124-134 ◽  
Author(s):  
Munendra Singh ◽  
Ashish Verma ◽  
Neeraj Sharma

1991 ◽  
Vol 152 (4) ◽  
pp. 531-555 ◽  
Author(s):  
Adi Bulsara ◽  
E.W. Jacobs ◽  
Ting Zhou ◽  
Frank Moss ◽  
Laszlo Kiss

2003 ◽  
Vol 67 (6) ◽  
Author(s):  
R. Stoop ◽  
J. Buchli ◽  
G. Keller ◽  
W.-H. Steeb

2015 ◽  
Vol 22 (1-3) ◽  
pp. 641-649 ◽  
Author(s):  
Iacyel G. Silva ◽  
Osvaldo A. Rosso ◽  
Marcos V.D. Vermelho ◽  
Marcelo L. Lyra

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