电子学报
電子學報
전자학보
ACTA ELECTRONICA SINICA
2013年
10期
2100-2103
,共4页
混沌%蔡氏电路%人脑%数据窗口%功率指数
混沌%蔡氏電路%人腦%數據窗口%功率指數
혼돈%채씨전로%인뇌%수거창구%공솔지수
chaos%Chua’s circuit%human brain%data window%power index
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.
基于人腦和蔡氏電路都能錶現複雜的混沌特徵,本文利用蔡氏電路為人腦建立電路模型.文中利用Multisim10?倣真蔡氏電路,提取純阻 R1兩耑電壓,作為原始待分析數據.類積分法、李亞普若伕指數、微窗口法和 P分數等四種方法順次應用于選取數據分析窗口.基于數據窗口,分彆調整電感 L和非線性電阻參數R5,得到純阻 R1的平均功率及其最小值 PR1min (1.56×10-4W).同時以 PR1min為底數,利用Log函數計算 R1的平均功率對應的指數值.對比最近幾年人腦近紅外耳穴信號研究成果,R1平均功率指數與以微笑時人腦額區消耗功率為底數的人腦平靜、誠實和說謊的功率消耗指數分佈相同.結閤人腦實際消耗功率,我們選取純阻 R1最小平均功率對應的蔡氏電路併聯,實現平靜、微笑、誠實和說謊的人腦額區蔡氏電路模型.此電路模型為人腦非線性模型研究提供瞭一箇嶄新的研究思路.
기우인뇌화채씨전로도능표현복잡적혼돈특정,본문이용채씨전로위인뇌건립전로모형.문중이용Multisim10?방진채씨전로,제취순조 R1량단전압,작위원시대분석수거.류적분법、리아보약부지수、미창구법화 P분수등사충방법순차응용우선취수거분석창구.기우수거창구,분별조정전감 L화비선성전조삼수R5,득도순조 R1적평균공솔급기최소치 PR1min (1.56×10-4W).동시이 PR1min위저수,이용Log함수계산 R1적평균공솔대응적지수치.대비최근궤년인뇌근홍외이혈신호연구성과,R1평균공솔지수여이미소시인뇌액구소모공솔위저수적인뇌평정、성실화설황적공솔소모지수분포상동.결합인뇌실제소모공솔,아문선취순조 R1최소평균공솔대응적채씨전로병련,실현평정、미소、성실화설황적인뇌액구채씨전로모형.차전로모형위인뇌비선성모형연구제공료일개참신적연구사로.
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 .