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利用可实现对任意阶多元多项式超曲面的无差逼近的、基于离散泰勒级数的高阶联想记忆系统（ＤＴＳ－ＡＭＳ），对（本系列文章之一中所得）自发脑电（ＥＥＧ）信号错相叠加平均后的残余信号进行建模和外推估计．数字仿真结果表明，此法通过十次左右的视觉刺激，即可将视觉诱发脑电（ＶＥＰ）信号从ＥＥＧ信号中分离出来，所得ＶＥＰ信号潜伏期Ｐ_１００精度可满足一般临床诊断要求．
The spontaneous EEG (EEG) signals (obtained in one of this series) were generated using the discrete-Taylor series high-order associative memory system (DTS-AMS) that allows for the non-difference approximation of arbitrary order polynomial hypersurfaces The residual signal after the mean-error-plus-phase is modeled and extrapolated. The results of numerical simulation show that this method can separate VEP signal from EEG signal through about ten visual stimuli. The accuracy of P_100 of the obtained VEP signal can meet the requirement of general clinical diagnosis.