Noise-assisted signal transmission via stochastic resonance in a diode nonlinearity

1997 ◽  
Vol 33 (20) ◽  
pp. 1666 ◽  
Author(s):  
X. Godivier ◽  
J. Rojas-Varela ◽  
F. Chapeau-Blondeau
2020 ◽  
Vol 23 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Fabing Duan ◽  
Lingling Duan ◽  
Francois Chapeau-Blondeau ◽  
Yuhao Ren ◽  
Derek Abbott

2002 ◽  
Vol 12 (03) ◽  
pp. 629-633 ◽  
Author(s):  
S. MORFU ◽  
J. C. COMTE ◽  
J. M. BILBAULT ◽  
P. MARQUIÉ

We study the influence of spatiotemporal noise on the propagation of square waves in an electrical dissipative chain of triggers. By numerical simulation, we show that noise plays an active role in improving signal transmission. Using the Signal to Noise Ratio at each cell, we estimate the propagation length. It appears that there is an optimum amount of noise that maximizes this length. This specific case of stochastic resonance shows that noise enhances propagation.


Author(s):  
Gregory Knoll ◽  
Benjamin Lindner

AbstractIt has previously been shown that the encoding of time-dependent signals by feedforward networks (FFNs) of processing units exhibits suprathreshold stochastic resonance (SSR), which is an optimal signal transmission for a finite level of independent, individual stochasticity in the single units. In this study, a recurrent spiking network is simulated to demonstrate that SSR can be also caused by network noise in place of intrinsic noise. The level of autonomously generated fluctuations in the network can be controlled by the strength of synapses, and hence the coding fraction (our measure of information transmission) exhibits a maximum as a function of the synaptic coupling strength. The presence of a coding peak at an optimal coupling strength is robust over a wide range of individual, network, and signal parameters, although the optimal strength and peak magnitude depend on the parameter being varied. We also perform control experiments with an FFN illustrating that the optimized coding fraction is due to the change in noise level and not from other effects entailed when changing the coupling strength. These results also indicate that the non-white (temporally correlated) network noise in general provides an extra boost to encoding performance compared to the FFN driven by intrinsic white noise fluctuations.


1997 ◽  
Vol 55 (2) ◽  
pp. 1478-1495 ◽  
Author(s):  
Fraņcois Chapeau-Blondeau ◽  
Xavier Godivier

2000 ◽  
Vol 61 (1) ◽  
pp. 940-943 ◽  
Author(s):  
François Chapeau-Blondeau

2013 ◽  
Vol 12 (23) ◽  
pp. 7265-7269
Author(s):  
Youguo Wang ◽  
Qiqing Zhai

2014 ◽  
Vol 33 ◽  
pp. 1460356
Author(s):  
Fabing Duan ◽  
François Chapeau-Blondeau ◽  
Derek Abbott

We study the aperiodic signal transmission in a static nonlinearity in the context of aperiodic stochastic resonance. The performance of a nonlinearity over that of the linear system is defined as the transmission efficacy. The theoretical and numerical results demonstrate that the noise-enhanced transmission efficacy effects occur for different signal strengths in various noise scenarios.


2014 ◽  
Vol 2 ◽  
pp. 417-420
Author(s):  
Florian Gomez ◽  
Stefan Martignoli ◽  
Ruedi Stoop

2014 ◽  
Vol 1 ◽  
pp. 13-16
Author(s):  
Akihisa Ichiki ◽  
Yukihiro Tadokoro

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