TY - JOUR
T1 - Stimulus-induced transition of clustering firings in neuronal networks with information transmission delay
AU - Wang, Qingyun
AU - Zhang, Honghui
AU - Chen, Guanrong
PY - 2013/7
Y1 - 2013/7
N2 - We study the evolution of spatiotemporal dynamics and transition of clustering firing synchronization on spiking Hodgkin-Huxley neuronal networks as information transmission delay and the periodic stimulus are varied. In particular, it is shown that the tuned information transmission delay can induce a clustering anti-phase synchronization transition with the pacemaker, where two equal clusters can alternatively synchronize in anti-phase firing. More interestingly, we show that the periodic stimulus can drive the delay-induced clustering anti-phase firing synchronization bifurcate to the collective perfect synchronization, which is routed by the complex process including collective chaotic firings and clustering out-of-phase synchronization of the neuronal networks. In addition, the periodic stimulus induced clustering firings of the spiking neuronal networks are robust to the connectivity probability of small world networks. Furthermore, the different stimulus frequency induced complexity is also investigated. We hope that the results of this paper can provide insights that could facilitate the understanding of the joint impact of information transmission delays and periodic stimulus on controlling dynamical behaviors of realistic neuronal networks. © 2013 EDP Sciences, Società Italiana di Fisica and Springer-Verlag.
AB - We study the evolution of spatiotemporal dynamics and transition of clustering firing synchronization on spiking Hodgkin-Huxley neuronal networks as information transmission delay and the periodic stimulus are varied. In particular, it is shown that the tuned information transmission delay can induce a clustering anti-phase synchronization transition with the pacemaker, where two equal clusters can alternatively synchronize in anti-phase firing. More interestingly, we show that the periodic stimulus can drive the delay-induced clustering anti-phase firing synchronization bifurcate to the collective perfect synchronization, which is routed by the complex process including collective chaotic firings and clustering out-of-phase synchronization of the neuronal networks. In addition, the periodic stimulus induced clustering firings of the spiking neuronal networks are robust to the connectivity probability of small world networks. Furthermore, the different stimulus frequency induced complexity is also investigated. We hope that the results of this paper can provide insights that could facilitate the understanding of the joint impact of information transmission delays and periodic stimulus on controlling dynamical behaviors of realistic neuronal networks. © 2013 EDP Sciences, Società Italiana di Fisica and Springer-Verlag.
KW - Statistical and Nonlinear Physics
UR - http://www.scopus.com/inward/record.url?scp=84879759959&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84879759959&origin=recordpage
U2 - 10.1140/epjb/e2013-40078-3
DO - 10.1140/epjb/e2013-40078-3
M3 - RGC 21 - Publication in refereed journal
SN - 1434-6028
VL - 86
JO - European Physical Journal B
JF - European Physical Journal B
IS - 7
M1 - 130078
ER -