Experimental observation of coherence resonance in cascaded excitable systems

1999 ◽  
Vol 59 (4) ◽  
pp. R3791-R3794 ◽  
Author(s):  
D. E. Postnov ◽  
Seung Kee Han ◽  
Tae Gyu Yim ◽  
O. V. Sosnovtseva
Author(s):  
Krassimir Panajotov ◽  
Mikel Arizaleta Arteaga ◽  
Miguel Valencia ◽  
Marc Sciamanna ◽  
Manuel Lopez-Amo ◽  
...  

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.


2014 ◽  
Vol 87 (12) ◽  
Author(s):  
Paul M. Geffert ◽  
Anna Zakharova ◽  
Andrea Vüllings ◽  
Wolfram Just ◽  
Eckehard Schöll

Neuroreport ◽  
2002 ◽  
Vol 13 (13) ◽  
pp. 1657-1660 ◽  
Author(s):  
Huaguang Gu ◽  
Minghao Yang ◽  
Li Li ◽  
Zhiqiang Liu ◽  
Wei Ren

2002 ◽  
Vol 02 (03) ◽  
pp. L139-L146 ◽  
Author(s):  
J. W. SHUAI ◽  
S. ZENG ◽  
P. JUNG

Coherence resonance describes a phenomenon in excitable systems in which a suitable dose of noise generates excitation-events that maximizes its periodicity or coherence. The Fano-factor, defined as the ratio of the standard deviation of the time-intervals between successive events and the average time interval, exhibits a minimum at this optimal noise level. It is shown here that a decreasing Fano factor is a necessary but not a sufficient criterion to indicate enhanced coherence of a signal.


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.


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