{"title":"Simulation and control of epileptic EEG via a nonlinear model on Simulink","authors":"X. Tian, Z. Xiao","doi":"10.1109/ICNIC.2005.1499881","DOIUrl":null,"url":null,"abstract":"A nonlinear model between brainstem, cortex and thalamus circuits is established on neural population level on Matlab/Simulink. The electric activities in this brain circuits are simulated. The output of this model is the derivatives of postsynaptic potentials from thalamus, which are reflected in EEG in both normal and epileptic EEGs. The epileptic EEGs are simulated via model with a dysfunction between brainstem and cortex, then controlled to normal by adding a perturbation to the cortex or sensory. The amplitude and the correlation dimension of the simulated EEG are used as the index of the dynamic behavior of EEG.","PeriodicalId":169717,"journal":{"name":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2005 First International Conference on Neural Interface and Control, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIC.2005.1499881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A nonlinear model between brainstem, cortex and thalamus circuits is established on neural population level on Matlab/Simulink. The electric activities in this brain circuits are simulated. The output of this model is the derivatives of postsynaptic potentials from thalamus, which are reflected in EEG in both normal and epileptic EEGs. The epileptic EEGs are simulated via model with a dysfunction between brainstem and cortex, then controlled to normal by adding a perturbation to the cortex or sensory. The amplitude and the correlation dimension of the simulated EEG are used as the index of the dynamic behavior of EEG.