中文摘要：

基于人脑和蔡氏电路都能表现复杂的混沌特征，本文利用蔡氏电路为人脑建立电路模型．文中利用Multisim10？仿真蔡氏电路，提取纯阻 R1两端电压，作为原始待分析数据．类积分法、李亚普若夫指数、微窗口法和 P分数等四种方法顺次应用于选取数据分析窗口．基于数据窗口，分别调整电感 L和非线性电阻参数R5，得到纯阻 R1的平均功率及其最小值 PR1min （1.56×10-4W）．同时以 PR1min为底数，利用Log函数计算 R1的平均功率对应的指数值．对比最近几年人脑近红外耳穴信号研究成果，R1平均功率指数与以微笑时人脑额区消耗功率为底数的人脑平静、诚实和说谎的功率消耗指数分布相同．结合人脑实际消耗功率，我们选取纯阻 R1最小平均功率对应的蔡氏电路并联，实现平静、微笑、诚实和说谎的人脑额区蔡氏电路模型．此电路模型为人脑非线性模型研究提供了一个崭新的研究思路．

英文摘要：

Based on the similarity of chaos in human brain and Chua′s circuit ,we propose the methods to model human brain with Chua′s circuit .With the simulation of Multisim 10？ ,we set voltages across resistor R1 as original signals .Also ,Analogous def-inite integral ,Lyapunov ,Micro-segmented windows and P values are applied to gain data window .Then ,minimum mean power of R1（PR1min ：1.56×10-4W） is discovered after tuning inductance L and nonlinear-resistor parameter R5 .Furthermore ,we suppose PR1min as log-base ,and calculate the new indexes for each power of R1 as reference values .After compared with previous indexes of brain power consumption （BPC ）in frontal lobe at cognitive states of calmness ,honesty ,or lying （BPC at smile as base ） ,two-set in-dexes equal to each other .According to actual BPC ,and with Chua′s circuit corresponding to minimum mean power PR1min ,we ac-complish human brain model in frontal lobe at cognitive states of calmness ,honesty ,lying and smile .This work will provide novel thinking for nonlinear modeling of human brain .