【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。更多还原

【Abstract】 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.更多还原