IF神经网络电路模型及其分析  

Integrate-and-Fire Neural Network Circuit Model and Analysis

作　　者：尹飞[1] 赵波[1] 冯大政[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《现代电子技术》2008年第8期12-14,共3页Modern Electronics Technique

摘　　要：为了对IF神经网络模型向实际运用转化,具体对IF模型进行电路模拟,并从电路特性来解释生物神经元的主要特征,该模型满足一般的生物神经元的特性,如:具备非线性空间特性、时间特性(绝对不应期)、EPSP(Excitatory Post-synapitc Potentials)I、PSP(Inhibitory Post-synapitc Potentials),及胞体在阈值下活动期间能够完成EPSP和IPSP之间的非线性相互作用。从而使模型向具体电路转化接近,为人工模拟的理想模型向实际运用提供了方法。In order to convert IF neural network from ideal model to practical circuit, simulating Integrate- and- Fire（IF） neural network circuit model and analyzing the many performances,and it meets general biology neural property, （for example, time- space summation, excitatory post- synapitc potentials, inhibitory post- synapitc potentials, nonlinear of excitatory post- synapitc potentials and inhibitory post- synapitc potentials reciprocity unthreshold of soma and so on. Thus,the model will be approached to practical circuit and provide mothod of actuality operation.

关 键 词：IF模型 神经网络 兴奋性突触 抑制性突触 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]