Literature DB >> 21456852

Burst synchronization transitions in a neuronal network of subnetworks.

Xiaojuan Sun1, Jinzhi Lei, Matjaz Perc, Jürgen Kurths, Guanrong Chen.   

Abstract

In this paper, the transitions of burst synchronization are explored in a neuronal network consisting of subnetworks. The studied network is composed of electrically coupled bursting Hindmarsh-Rose neurons. Numerical results show that two types of burst synchronization transitions can be induced not only by the variations of intra- and intercoupling strengths but also by changing the probability of random links between different subnetworks and the number of subnetworks. Furthermore, we find that the underlying mechanisms for these two bursting synchronization transitions are different: one is due to the change of spike numbers per burst, while the other is caused by the change of the bursting type. Considering that changes in the coupling strengths and neuronal connections are closely interlaced with brain plasticity, the presented results could have important implications for the role of the brain plasticity in some functional behavior that are associated with synchronization.

Mesh:

Year:  2011        PMID: 21456852     DOI: 10.1063/1.3559136

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  16 in total

1.  Frequency-domain order parameters for the burst and spike synchronization transitions of bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2015-03-14       Impact factor: 5.082

2.  Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2014-11-29       Impact factor: 5.082

3.  Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-09-11       Impact factor: 5.082

4.  Dynamics of in-phase and anti-phase bursting in the coupled pre-Bötzinger complex cells.

Authors:  Lixia Duan; Jing Liu; Xi Chen; Pengcheng Xiao; Yong Zhao
Journal:  Cogn Neurodyn       Date:  2016-09-12       Impact factor: 5.082

5.  Dynamic behavior analysis of fractional-order Hindmarsh-Rose neuronal model.

Authors:  Dong Jun; Zhang Guang-Jun; Xie Yong; Yao Hong; Wang Jue
Journal:  Cogn Neurodyn       Date:  2013-11-05       Impact factor: 5.082

6.  Bursting synchronization dynamics of pancreatic β-cells with electrical and chemical coupling.

Authors:  Pan Meng; Qingyun Wang; Qishao Lu
Journal:  Cogn Neurodyn       Date:  2012-10-25       Impact factor: 5.082

7.  Cooperative effect of random and time-periodic coupling strength on synchronization transitions in one-way coupled neural system: mean field approach.

Authors:  Shi Jiancheng; Luo Min; Huang Chusheng
Journal:  Cogn Neurodyn       Date:  2017-04-24       Impact factor: 5.082

8.  Cluster burst synchronization in a scale-free network of inhibitory bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2019-07-10       Impact factor: 5.082

9.  Effect of spike-timing-dependent plasticity on stochastic burst synchronization in a scale-free neuronal network.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2018-01-10       Impact factor: 5.082

10.  Identifying controlling nodes in neuronal networks in different scales.

Authors:  Yang Tang; Huijun Gao; Wei Zou; Jürgen Kurths
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

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