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抑制性神经元间同时具有化学突触和电突触的脉冲耦合神经网络中混沌的随机同步。

Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neurons.

作者信息

Kanamaru Takashi, Aihara Kazuyuki

机构信息

Department of Innovative Mechanical Engineering, Faculty of Global Engineering, Kogakuin University, Hachioji-city, Tokyo 193-0802, Japan.

出版信息

Neural Comput. 2008 Aug;20(8):1951-72. doi: 10.1162/neco.2008.05-07-516.

Abstract

The synchronous firing of neurons in a pulse-coupled neural network composed of excitatory and inhibitory neurons is analyzed. The neurons are connected by both chemical synapses and electrical synapses among the inhibitory neurons. When electrical synapses are introduced, periodically synchronized firing as well as chaotically synchronized firing is widely observed. Moreover, we find stochastic synchrony where the ensemble-averaged dynamics shows synchronization in the network but each neuron has a low firing rate and the firing of the neurons seems to be stochastic. Stochastic synchrony of chaos corresponding to a chaotic attractor is also found.

摘要

分析了由兴奋性和抑制性神经元组成的脉冲耦合神经网络中神经元的同步放电。抑制性神经元之间通过化学突触和电突触相互连接。当引入电突触时,广泛观察到周期性同步放电以及混沌同步放电。此外,我们发现了随机同步,即总体平均动力学显示网络中存在同步,但每个神经元的放电率较低,且神经元的放电似乎是随机的。还发现了与混沌吸引子相对应的混沌随机同步。

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