Diversity and time delays induce resonance in a modular neuronal network

2014 ◽  
Vol 24 (4) ◽  
pp. 043140 ◽  
Author(s):  
Y. B. Jia ◽  
X. L. Yang ◽  
J. Kurths
Keyword(s):  
Neuronal Network ◽  
Time Delays ◽  
Modular Neuronal Network

Chaotic phase synchronization in a modular neuronal network of small-world subnetworks

2011 ◽  
Vol 21 (4) ◽  
pp. 043125 ◽  
Author(s):  
Haitao Yu ◽  
Jiang Wang ◽  
Qiuxiang Liu ◽  
Jinxin Wen ◽  
Bin Deng ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Phase Synchronization ◽  
Small World ◽  
Modular Neuronal Network

The collective bursting dynamics in a modular neuronal network with synaptic plasticity

2017 ◽  
Vol 89 (4) ◽  
pp. 2593-2602 ◽  
Author(s):  
Xiao Li Yang ◽  
Jia Yi Wang ◽  
Zhong Kui Sun
Keyword(s):  
Synaptic Plasticity ◽  
Neuronal Network ◽  
Modular Neuronal Network

Synchronization in a multilayer neuronal network: effect of time delays

2019 ◽  
Vol 228 (11) ◽  
pp. 2391-2403 ◽  
Author(s):  
Zhen Wang ◽  
Fawaz E. Alsaadi ◽  
Viet-Thanh Pham
Keyword(s):  
Neuronal Network ◽  
Time Delays ◽  
Network Effect

The evolution to global burst synchronization in a modular neuronal network

2016 ◽  
Vol 30 (14) ◽  
pp. 1650210 ◽  
Author(s):  
Xiaoli Yang ◽  
Manman Wang
Keyword(s):  
Neuronal Network ◽  
Coupling Strength ◽  
Numerical Results ◽  
Network Behavior ◽  
Modular Network ◽  
Scale Free ◽  
Macroscopic Property ◽  
Coupling Strengths ◽  
Burst Synchronization ◽  
Modular Neuronal Network

In this paper, we investigated the development of global burst synchronization in a modular neuronal network at the mesoscale level. The modular network consists of some subnetworks, each of them presenting a scale-free property. Numerical results have demonstrated that, upon increasing the coupling strength, all neurons in the modular network initially burst in a desynchronous pattern; then the burst synchronization within each subnetwork is followed at the mesoscale; finally, the global burst synchronization at the macroscale is formed by the bursting activities on each subnetwork moving forward in harmony. This implies the network behavior possesses two distinct mesoscopic and macroscopic properties for some coupling strengths, i.e. the mesoscopic dynamics of burst synchronization on subnetworks is different from the macroscopic property of desynchronous activity on the whole network. It is also found that global burst synchronization can be promoted by large interconnection probability and hindered by small interconnection probability.

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