Coherence resonance in a chemical excitable system driven by coloured noise

Author(s):  
Valentina Beato ◽  
Irene Sendiña-Nadal ◽  
Ingeborg Gerdes ◽  
Harald Engel

We investigate how the temporal correlation in excitable systems driven by external noise affects the coherence of the system's response. The coupling to the fluctuating environment is introduced via fluctuations of a bifurcation parameter that controls the local dynamics of the light-sensitive Belousov–Zhabotinsky reaction and of its numerical description, the Oregonator model. Both systems are brought from a highly incoherent regime to a coherent one by an appropriate choice of the correlation time and keeping noise variance constant. This effect has been found both for an Ornstein–Uhlenbeck process and for a dichotomous telegraph signal. In the latter case, we are able to connect the optimal correlation time, for which the system behaviour is most coherent, with a characteristic time scale of the system.

2017 ◽  
Vol 31 (28) ◽  
pp. 1750204 ◽  
Author(s):  
Yuangen Yao ◽  
Ming Yi ◽  
Dejia Hou

We study coherence resonance (CR) in the FitzHugh–Nagumo (FHN) neurons under cross-correlated sine-Wiener (CCSW) noises. It is numerically demonstrated that the reciprocal coefficient of variance of inter-spike intervals (R) increases with increasing amplitude or correlation time of CCSW noises, reaches the maximum at proper amplitude or correlation time, and then decreases, suggesting the appearance of CR phenomenon. In addition, the occurrence of CR is sensitive to a parameter range of amplitudes and correlation times of CCSW noises. Thus, CR can be controlled by regulating the amplitudes and correlation times of CCSW noises in the FHN excitable systems.


2006 ◽  
Vol 06 (01) ◽  
pp. L85-L94 ◽  
Author(s):  
V. BEATO ◽  
H. ENGEL

We study the coherence of noise-induced excitations in a modified stochastic Oregonator model for the light-sensitive Belousov-Zhabotinsky (BZ) reaction assuming that the intensity of the applied illumination is a spatio-temporal stochastic field with finite correlation time and correlation length. For a single excitable element, we find coherence resonance (CR) with respect to the correlation time. In the spatially extended medium of diffusively coupled excitable elements, we observe CR for suitable combinations of the correlation time and length of the noise.


2012 ◽  
Vol 11 (02) ◽  
pp. 1250008 ◽  
Author(s):  
YUBING GONG ◽  
BO XU ◽  
LI WANG

In this paper, we study the effects of both internal Gaussian noise and external non-Gaussian noise (NGN) on the temporal coherence of intracellular calcium oscillations. It is found that for a small cell volume internal noise can induce coherence resonance (CR) when external noise strength is small, and for a large cell volume external NGN can induce CR when noise strength, correlation time or the deviation from Gaussian distribution is varied. These results show that the calcium oscillation coherence can be optimized by either internal noise or external noise, depending on the cell volume. Furthermore, external NGN can optimize the oscillations in different ways by varying its noise strength, correlation time, or the deviation from Gaussian distribution. These findings imply that CR may appear frequently in the calcium oscillations when internal noise and external NGN coexist. This may help to entirely understand the constructive roles of internal noise and external NGN in the calcium oscillations.


2011 ◽  
Vol 10 (04) ◽  
pp. 359-369 ◽  
Author(s):  
LI WANG ◽  
YUBING GONG ◽  
XIU LIN

In this paper, we study the effect of external non-Gaussian noise on the temporal coherence of the intrinsic spiking induced by the channel noise in a stochastic Hodgkin–Huxley neuron. It is found that, for a sufficiently large membrane patch, the intrinsic spiking coherence can be enhanced by the proper values of non-Gaussian noise's strength, correlation time, or deviation from Gaussian distribution. And that the intrinsic spiking can exhibit coherence resonance when the noise's strength is optimal. This implies that the channel noise-induced intrinsic spiking may become more or the most ordered in time with the assistance of the external non-Gaussian noise. These results show that the external non-Gaussian noise can play a constructive role for improving the time precision of information processing in stochastic neurons.


2013 ◽  
Vol 27 (21) ◽  
pp. 1350115 ◽  
Author(s):  
FAN LI ◽  
JUN MA

The selection and breakup of spiral wave in a coupled network is investigated by imposing Gaussian colored noise on the network, respectively. The dynamics of each node of the network is described by a simplified Chua circuit, and nodes are uniformly placed in a two-dimensional array with nearest-neighbor connection type. The transition of spiral wave is detected by changing the coupling intensity, intensity and correlation time τ in the noise. A statistical variable is used to discern the parameter region for breakup of spiral wave and robustness to external noise. Spiral waves emerge in the network when the network with structure of complex-periodic and chaotic properties. It is found that asymmetric coupling can induce deformation of spiral wave, stronger intensity or smaller correlation time in noise does cause breakup of the spiral wave.


2001 ◽  
Vol 64 (5) ◽  
Author(s):  
J. M. Buldú ◽  
J. García-Ojalvo ◽  
Claudio R. Mirasso ◽  
M. C. Torrent ◽  
J. M. Sancho

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