title: Burst synchronization transitions in a neuronal network of subnetworks.
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.
authors: Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua Univeristy, Beijing 100084, People's Republic of China. sunxiaojuan.bj@gmail.com
authors: Xiaojuan
authors: X
authors: Sun
authors: Jinzhi
authors: J
authors: Lei
authors: Matjaz
authors: M
authors: Perc
authors: Jürgen
authors: J
authors: Kurths
authors: Guanrong
authors: G
authors: Chen
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D003344:Cortical Synchronization / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*