Abstract：This paper studies the noise-enhanced pulse signal transmission in coupling neural networks composed of integrate-and-fire neurons. The coupling strengthsamong neurons and the structure of the network are described by the weight matrices. The input pulse stimulus is delivered to target neurons of the network, while all neurons in the network are driven by internal noise components. It is shown that, with the increase of noise intensity, the correlation coefficient of the firing rate of the neural network output and that of the pulse stimulus can be enhanced to an extreme point, which confirms the noise-enhanced pulse signal transmission phenomenon in coupling networks. We further analyze effects of the threshold voltage, the structure of network and the noise type on the correlation coefficient of the output-input firing rates. These results provide a practical basis for the further study of stochastic resonance to the pulse signal propagation in nervous systems.
方鸿雁, 潘园园, 孙华通, 张立, 段法兵. 耦合神经网络中脉冲信号传输的噪声增强研究[J]. 复杂系统与复杂性科学, 2017, 14(2): 59-64.
FANG Hongyan, PAN Yuanyuan, SUN Huatong, ZHANG Li, DUAN Fabing. Study of Noise-Enhanced Pulse Signal Transmission in Coupling Neural Networks[J]. Complex Systems and Complexity Science, 2017, 14(2): 59-64.
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