TY - JOUR
T1 - Multiple synchronization transitions in scale-free neuronal networks with electrical and chemical hybrid synapses
AU - Liu, Chen
AU - Wang, Jiang
AU - Wang, Lin
AU - Yu, Haitao
AU - Deng, Bin
AU - Wei, Xile
AU - Tsang, Kaiming
AU - Chan, Wai Lok
PY - 2014/2/1
Y1 - 2014/2/1
N2 - The impacts of information transmission delay on the synchronization transitions in scale-free neuronal networks with electrical and chemical hybrid synapses are investigated. Numerical results show that multiple appearances of synchronization regions transitions can be induced by different information transmission delays. With the time delay increasing, the synchronization of neuronal activities can be enhanced or destroyed, irrespective of the probability of chemical synapses in the whole hybrid neuronal network. In particular, for larger probability of electrical synapses, the regions of synchronous activities appear broader with stronger synchronization ability of electrical synapses compared with chemical ones. Moreover, it can be found that increasing the coupling strength can promote synchronization monotonously, playing the similar role of the increasing the probability of the electrical synapses. Interestingly, the structures and parameters of the scale-free neuronal networks, especially the structural evolvement plays a more subtle role in the synchronization transitions. In the network formation process, it is found that every new vertex is attached to the more old vertices already present in the network, the more synchronous activities will be emerge.
AB - The impacts of information transmission delay on the synchronization transitions in scale-free neuronal networks with electrical and chemical hybrid synapses are investigated. Numerical results show that multiple appearances of synchronization regions transitions can be induced by different information transmission delays. With the time delay increasing, the synchronization of neuronal activities can be enhanced or destroyed, irrespective of the probability of chemical synapses in the whole hybrid neuronal network. In particular, for larger probability of electrical synapses, the regions of synchronous activities appear broader with stronger synchronization ability of electrical synapses compared with chemical ones. Moreover, it can be found that increasing the coupling strength can promote synchronization monotonously, playing the similar role of the increasing the probability of the electrical synapses. Interestingly, the structures and parameters of the scale-free neuronal networks, especially the structural evolvement plays a more subtle role in the synchronization transitions. In the network formation process, it is found that every new vertex is attached to the more old vertices already present in the network, the more synchronous activities will be emerge.
UR - http://www.scopus.com/inward/record.url?scp=84890499962&partnerID=8YFLogxK
U2 - 10.1016/j.chaos.2013.11.011
DO - 10.1016/j.chaos.2013.11.011
M3 - Journal article
SN - 0960-0779
VL - 59
SP - 1
EP - 12
JO - Chaos, Solitons and Fractals
JF - Chaos, Solitons and Fractals
ER -