Novák V, Svacina S
Physiol Bohemoslov. 1982;31(4):341-8.
The authors describe a hybrid computer neurone model intended for the investigation of stochastic transformations effected by neurones in correlation to some of their physiological parameters. The model is designed so as to give the best possible characterization of the internal dynamics of a neurone with minimum limiting conditions. It allows the generation of suitable input stochastic processes or operates with input processes obtained experimentally in the living neurone and it carries out basic statistical tests of the output stochastic process.
作者描述了一种混合计算机神经元模型,旨在研究神经元所产生的与某些生理参数相关的随机变换。该模型的设计目的是在最小限度的限制条件下,尽可能最佳地描述神经元的内部动态。它允许生成合适的输入随机过程,或对在活体神经元中通过实验获得的输入过程进行运算,并对输出随机过程进行基本的统计测试。