作者: Zhiguo Zhao , Huaguang Gu
DOI: 10.1016/J.CHAOS.2015.06.017
关键词: Biological neural network 、 Coupling (electronics) 、 Neuron 、 Network topology 、 Physics 、 Control theory 、 Theta model 、 Bursting 、 Biological system 、 Inhibitory postsynaptic potential 、 Synchronization
摘要: Abstract Time delay induced-multiple synchronous behaviors are simulated in neuronal network composed of many inhibitory neurons and appear at different time delays shorter than a period endogenous bursting individual neurons. It is from previous investigations wherein only one multiple appears firing others longer the duration. The patterns identified based on dynamics an neuron stimulated by signal similar to coupling current, which applied decaying branch spike suitable phase within quiescent state bursting. If burst contains more spikes, regions delay. As strength increases, sequence because threshold current or needed achieve behaviors. From regular, small-world, random networks, degree becomes weak, with lower spikes per disappear, properly interpreted difference between induced high synchronization for absent patterns. results influence neurons, topology network, delay, helpful understanding