前馈型神经元网络中的放电频率传递分析

ANALYSIS OF FIRING RATE PROPAGATION IN THE FEEDFORWARD NEURONAL NETWORK

本文建立了一个基于Hodgkin-Huxley神经元的前馈神经元网络模型,研究了平均放电频率在前馈神经元网络中的传递情况。研究结果显示,适当的层间连接概率与输人噪声强度能够提髙前馈神经元网络的同步效率,进而增强网络稳定传递放电频率的性能。此外,通过引入并调节突触时滞,发现适当的时滞对神经元耦合系统的完全同步和前馈神经元网络内信息传输有明显的促进作用。

In this paper,a feedforward neuronal network based on Hodgkin-Huxley neuronal model is constructed and propagation of the mean firing rate in such a feedforward neuronal network is studied.The obtained results illustrate that proper interlayer connection probability and input noise intensity could promote the efficiency of synchronization in the feedforward neuronal network,which hence enhances the performance of stable propagation of the firing rate.Moreover,by introducing and modifying the synaptic time delay,we find that proper time delay could significantly promote the full synchronization in the neuronal coupled systems and information propagation in the studied feedforward neuronal networks.