摘要
从生物神经元接收和处理信息的基本实验事实出发,提出了一种新的神经网络模型。这个模型修改了大多数现有人工神经网络中关于输出函数只反映静态特性的假设,而强调了神经元发放脉冲的动态过程。模型方程分别对应于突触后电位、感受器电位、始段分级电位和轴突上的的脉冲系列,每个方程都具有明确的生理意义。还给出了计算此非线性方程组解的递推算法和程序框图。因此不仅可对本模型作进一步的理论分析,也可在计算机上仿真,并和相应的生物学实验资料进行对照比较。
Based upon the fundamental facts about information processing by living neurons, a dynamic model of neural natwork was proposed. The feature of this model was that the output activity of basic unit of the network was considesed as a dynanic process of neuron discharging instead of static characteristics used in most current neural network models. The equations of the model, corresponding to postsynaptic potentials, receptor potentials, initial segment graded potentials and the impulse train along the axon respectively, have been given. Every equation has its physiological meaning. To solve the equations numerically, a recurrent algorithm and its corresponding flow chart was also given in this paper. Therefore, this model is ready for further theoretical analysis, and computer simulation.
出处
《生物物理学报》
CAS
CSCD
北大核心
1992年第2期339-345,共7页
Acta Biophysica Sinica
基金
国家自然科学基金资助项目
项目编号39070259.
