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| Study of Noise-Enhanced Pulse Signal Transmission in Coupling Neural Networks |
| FANG Hongyan, PAN Yuanyuan, SUN Huatong, ZHANG Li, DUAN Fabing
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| Institute of Complexity Science, Qingdao University, Qingdao 266071, China |
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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.
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Received: 10 January 2017
Published: 25 February 2025
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