The influence of single neuron dynamics and network topology on time delay-induced multiple synchronous behaviors in inhibitory coupled network

作者: Zhiguo Zhao , Huaguang Gu

DOI: 10.1016/J.CHAOS.2015.06.017

关键词: Biological neural networkCoupling (electronics)NeuronNetwork topologyPhysicsControl theoryTheta modelBurstingBiological systemInhibitory postsynaptic potentialSynchronization

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

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