突触神经随机汇池网络的信息传递研究  

Study of Information Transmission in Synaptic Neural Stochastic Pooling Network

作　　者：王慧[1] 侯鹏鹏[1] 任昱昊[1] 段法兵[1] 

机构地区：[1]青岛大学复杂性科学研究所,山东青岛266071

出　　处：《青岛大学学报（工程技术版）》2016年第3期81-85,共5页Journal of Qingdao University(Engineering & Technology Edition)

基　　金：国家自然科学基金(61573202);山东省科技发展计划项目(2014GGX101031)

摘　　要：针对突触神经网络的信息传输问题,本文研究了饱和性突触神经随机汇池网络的信息传递特性,分析了网络内部噪声源对于互信息和刺激特定信息的影响,给出了互信息和刺激特定信息的数值计算方法,并对刺激特定信息分布进行实验研究。实验结果表明,在兴奋性和抑制性突触神经共同组成的异质类随机汇池网络中,存在适量噪声能够增强网络信息传递的随机共振现象,远离饱和区的信号幅值对神经元群体信息传递效率的贡献较大。本文的研究结果对进一步理解突触神经信号处理机制具有重要指导意义。This paper focuses on the information transmission in synaptic neural networks.We study the information transfer characteristics of saturating synaptic neuron stochastic pooling networks,and analyze the effects of network internal multi-level noise sources on the mutual information and the stimulus-specific information.We present the numerical algorithms for calculating the mutual information and the stimulus-specific information.The results demonstrate the noise-enhanced effect of information transmission in heterogeneous stochastic pooling networks of multi-synaptic excitatory and inhibitory pathways,and the signal amplitude that can suffer from saturation contribute significantly to the effect of information transmission of groups of neurons.These research results are of great significance for the synaptic neural signal processing mechanism that deserves to be further understood.

关 键 词：突触神经 随机汇池网络 互信息 刺激特定信息 

分 类 号：Q42[生物学—神经生物学] TN911.7[生物学—生理学]