模块神经元网络中耦合时滞诱导的簇同步转迁

利用Courbage-Nekorkin-Vdovin神经元构建含有耦合时滞的模块神经元网络模型,通过数值模拟研究了耦合强度及耦合时滞对模块神经元网络簇同步放电特性的影响.研究结果表明,适当大的耦合强度可以诱导模块神经元网络达到簇同步.同时,研究发现耦合时滞可以诱导模块神经元网络出现簇同步转迁,且当时滞大小约为网络中所有神经元平均振荡周期的整数倍数时,模块神经元网络的簇同步现象能够间歇性出现.此外,研究结果表明时滞诱导的簇同步转迁对子网络内的耦合强度、子网络间的连接概率具有鲁棒性.

Coupling delay-induced burst synchronization transitions in a modular neuronal network

Though constructing a model of delay-coupled modular neuronal network by Courbage-Nekorkin-Vdovin neuron elements, this paper numerically studies the effect of coupling strength and delay on the firing properties of burst synchronization. The results shows that appropriately large coupling strength can induce burst synchronization in this modular neuronal network. At the same time, it is found that coupling delay can induce the transitions of burst synchronization for the modular neuronal network. Moreover, all these transitions of burst synchronization occur approximately when the value of the delay approximately equates to the integer multiples of average oscillation period for all the neurons in the modular neuronal network. Additionally, delay-induced burst synchronization transitions are confirmed to be robust to the intra-coupling strength and the inter-connection probability in the modular neuronal network.