{"title":"Using complexity measure to characterize information transmission of human brain cortex.","authors":"J H Xu, X B Wu","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The information transmission among various parts of the cortex are computed with the theory of mutual information from the data of the electroencephalogram (EEG) time series of normal human subjects. The intensities of these transmissions are characterized by the \"complexity\" measures. These measures have revealed to be sensitively related to the functional conditions of human beings.</p>","PeriodicalId":21648,"journal":{"name":"Science in China. Series B, Chemistry, life sciences & earth sciences","volume":"37 12","pages":"1455-62"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science in China. Series B, Chemistry, life sciences & earth sciences","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The information transmission among various parts of the cortex are computed with the theory of mutual information from the data of the electroencephalogram (EEG) time series of normal human subjects. The intensities of these transmissions are characterized by the "complexity" measures. These measures have revealed to be sensitively related to the functional conditions of human beings.