摘要
在已提出的现实性神经元模型基础上，构造了一个网络，研究其动态反应特性。计算机模拟结果表明在恒定输入下，该网络输出是脑电波样（ＥＥＧ—ｌｉｋｅ）反应；在周期性刺激下，其输出呈诱发电拉样反应。并从ＥＥＧ—ｌｉｋｅ波形的频谱、相空间重构、平面映射及Ｐｏｉｎｃａｒｅ截面、关联维数等方面对该网络进行了复杂性分析。
A network based on a realistic neural model was constituted and the dynamic properties of the network were studied under different input stimuli in this paper. The results of computer simulation demonstrate that the output of the network is an EEG-like waveform while a steady stimulus is given and the output displayS an evoked potential (EP-like) aCtivity under a periodic stimulus. We also analyzed the complex behavior of EEG-like waveform, such as spectrum analysis, reconstfuction of the phase space, plane pro join and Poincare Maps, the correlation dimension, and so on.
出处
《生物物理学报》
CAS
CSCD
北大核心
1995年第3期389-394,共6页
Acta Biophysica Sinica
基金
基金委重点项目
攀登计划资助
关键词
现实性
神经元模型
复杂性分析
网络结构
The realistic neural model EEG-like waveform Complex behavior
