摘要
随机共振在含噪神经元系统的研究中有很大的优势。通过建立神经元仿真模型,并分别以阈值下信号和阈值上信号加以刺激,利用数值仿真和非线性分析理论,分析神经元模型的随机共振特性。结果显示神经元模型在阈值上和阈值下都显示出了单峰性,说明神经元系统中存在随机共振现象。
Stochastic resonance has a great advantage in the research of noisy neurons system. In this paper,the threshold signals is used to excite the neuron simulation model,and the characteristics of stochastic resonance in neurons system are analyzed by means of numerical simulation and nonlinear analysis theory. The results show that neuron model reveals the unimodality in both threshold values. That means a phenomenon of stochastic resonance exists in neuron system.
出处
《现代电子技术》
2014年第21期58-61,共4页
Modern Electronics Technique
关键词
神经元模型
随机共振
数值仿真
含噪神经元系统
neuron model
stochastic resonance
numerical simulation
noisy neuron system