摘要
本文给出了一种人工神经元模型,并对其进行了分析,且将所获得的结果与神经生理学的结果作了比较。结论是该人工神经元能够模拟神经元一些主要特征,如潜伏期,时间、空间总和等。尤其是该模型较好地匹配了突触联接的非线性特性。
The paper gives and analyses an artificial neural net. The results obtained by analysis are compared with the ones derived in physiology. The conclusion is that the artificial neural net can simulates the many performances (for example, the latency period, time-space summation and so on) of the neuron. Especially, it is comparatively good that the model matches the non-linear performance of the synaptic connection.
出处
《通信学报》
EI
CSCD
北大核心
1992年第5期43-48,共6页
Journal on Communications
关键词
神经元
模型分析
Neuron, Artificial neural net, Mode analysis, Post-synaptic potential, Nonlinear Perfor-