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根据生物神经元是利用噪声通过随机共振机制进行信息处理的现象,以阀值神经元为例,采用香农第二定理,分析了双极性信号和白噪声通过由多个神经元串联或并联组成的系统的输出情况,从品质因数、传输长度等角度对多个神经元串联系统的输出特性随噪声强度变化进行了分析.实验结果表明:系统存在随机共振现象,即存在最优的噪声量可以最大限度地增强信息传输;串联时传输信息量随级数的增大而减小,并联时正好相反;噪声的分布形式只影响共振效应的强弱,而不影响系统的随机共振特性;均匀白噪声比高斯白噪声有更强的共振效应.从而说明了噪声对信息传输的积极作用.
Based on the fact that biological neurons process information by using random resonance mechanism, the threshold neuron is taken as an example. Based on the Shannon’s second theorem, bipolar signals and white noises are analyzed in series or in parallel by multiple neurons The output characteristics of multiple neuron series systems are analyzed with the change of noise intensity from the aspects of quality factor and transmission length.The experimental results show that the system has the phenomenon of stochastic resonance, Maximize the information transmission; the amount of transmission information decreases with the increase of the series in series and the opposite in parallel; the distribution of noise affects only the strength of the resonance effect without affecting the random resonance characteristics of the system; Noise has a stronger resonance effect than white Gaussian noise, which shows the positive effect of noise on information transmission.