{"title":"用复杂性测度表征人脑皮层的信息传递。","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":"{\"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}","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}
Using complexity measure to characterize information transmission of human brain cortex.
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.
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