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Suprathreshold stochastic resonance in multilevel threshold system driven by multiplicative and additive noises

机译:乘性和相加噪声驱动的多阈值系统中的超阈值随机共振

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摘要

The suprathreshold stochastic resonance in multithreshold neuronal networks system driven by multiplicative Gaussian noise and additive Gaussian noise is studied. The expression of the mutual information is derived, and the effects of the noise intensity and system parameter on mutual information are discussed. It is found that adjusting the additive noise intensity is more effective than adjusting the multiplicative noise intensity to enhance information transmission, and the more the number of devices, the more apparent the phenomenon of suprathreshold stochastic resonance. Moreover, we also found that the selection of threshold is very important in the process of information transmission.
机译:研究了乘性高斯噪声和加性高斯噪声驱动的多阈值神经元网络系统中的阈上随机共振。推导了互信息的表达,讨论了噪声强度和系统参数对互信息的影响。已经发现,调整加性噪声强度比调整乘性噪声强度更有效,以增强信息传输,并且设备数量越多,超阈值随机共振现象越明显。此外,我们还发现,阈值的选择在信息传输过程中非常重要。

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