Literature DB >> 24089957

Impact of delays on the synchronization transitions of modular neuronal networks with hybrid synapses.

Chen Liu1, Jiang Wang, Haitao Yu, Bin Deng, Xile Wei, Kaiming Tsang, Wailok Chan.   

Abstract

The combined effects of the information transmission delay and the ratio of the electrical and chemical synapses on the synchronization transitions in the hybrid modular neuronal network are investigated in this paper. Numerical results show that the synchronization of neuron activities can be either promoted or destroyed as the information transmission delay increases, irrespective of the probability of electrical synapses in the hybrid-synaptic network. Interestingly, when the number of the electrical synapses exceeds a certain level, further increasing its proportion can obviously enhance the spatiotemporal synchronization transitions. Moreover, the coupling strength has a significant effect on the synchronization transition. The dominated type of the synapse always has a more profound effect on the emergency of the synchronous behaviors. Furthermore, the results of the modular neuronal network structures demonstrate that excessive partitioning of the modular network may result in the dramatic detriment of neuronal synchronization. Considering that information transmission delays are inevitable in intra- and inter-neuronal networks communication, the obtained results may have important implications for the exploration of the synchronization mechanism underlying several neural system diseases such as Parkinson's Disease.

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Year:  2013        PMID: 24089957     DOI: 10.1063/1.4817607

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


  2 in total

1.  Partial coupling delay induced multiple spatiotemporal orders in a modular neuronal network.

Authors:  XiaoLi Yang; HuiDan Li; ZhongKui Sun
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

2.  Chimera states in uncoupled neurons induced by a multilayer structure.

Authors:  Soumen Majhi; Matjaž Perc; Dibakar Ghosh
Journal:  Sci Rep       Date:  2016-12-13       Impact factor: 4.379

  2 in total

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