Multiple coherence resonance induced by time-periodic coupling in stochastic Hodgkin–Huxley neuronal networks

2011 ◽  
Vol 21 (4) ◽  
pp. 043109 ◽  
Author(s):  
Xiu Lin ◽  
Yubing Gong ◽  
Li Wang
2012 ◽  
Vol 11 (04) ◽  
pp. 1250029
Author(s):  
YUBING GONG ◽  
LI WANG ◽  
BO XU

In this Letter, we study the effect of time-periodic coupling strength (TPCS) on the coherence resonance (CR) of spiking behavior induced by a particular kind of non-Gaussian noise in Newman–Watts networks of Hodgkin–Huxley neurons. It is found that the CR by the non-Gaussian noise can be enhanced by TPCS when TPCS frequency is equal to or multiple of the inverse of the refractory period, and can occur in networks with more random shortcuts for TPCS than for constant coupling strength. Furthermore, the CR by the non-Gaussian noise can occur at smaller TPCS frequency when network randomness increases. These results show that the CR by the non-Gaussian noise can be enhanced by TPCS and can occur in more complex networks in case of TPCS. These findings may help to better understand the joint roles of the non-Gaussian noise and TPCS in the spiking activity of the neuronal networks.


2013 ◽  
Vol 22 (1) ◽  
pp. 018702 ◽  
Author(s):  
Wei-Lian Ning ◽  
Zheng-Zhen Zhang ◽  
Shang-You Zeng ◽  
Xiao-Shu Luo ◽  
Jin-Lin Hu ◽  
...  

2018 ◽  
Vol 17 (04) ◽  
pp. 1850036
Author(s):  
Huijuan Xie ◽  
Yubing Gong

In this paper, we study effect of channel block (CB) on multiple coherence resonance (MCR) in adaptive scale-free Hodgkin–Huxley neuronal networks with spike-timing-dependent plasticity (STDP). It is found that potassium CB suppresses MCR, but sodium CB can enhance MCR, and there is optimal sodium CB level by which MCR becomes most pronounced. In addition, STDP has a significant influence on the effect of CB on MCR. As adjusting rate [Formula: see text] of STDP increases, for potassium CB there is proper [Formula: see text] by which MCR is most pronounced; however, for sodium CB MCR is reduced. These findings could provide a new insight into effect of CB on information processing in neural systems.


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