{"title":"高效神经元的信息传递","authors":"T. Berger, W. Levy","doi":"10.1109/ISIT.2009.5205816","DOIUrl":null,"url":null,"abstract":"We introduce and analyze a biologically motivated mathematical model of a neuron in primary cortex that we call neuron j, or just j. Our goal is to ascertain how j maximizes the ratio of the information it conveys to the energy it expends.","PeriodicalId":412925,"journal":{"name":"2009 IEEE International Symposium on Information Theory","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Information transfer by energy-efficient neurons\",\"authors\":\"T. Berger, W. Levy\",\"doi\":\"10.1109/ISIT.2009.5205816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce and analyze a biologically motivated mathematical model of a neuron in primary cortex that we call neuron j, or just j. Our goal is to ascertain how j maximizes the ratio of the information it conveys to the energy it expends.\",\"PeriodicalId\":412925,\"journal\":{\"name\":\"2009 IEEE International Symposium on Information Theory\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2009.5205816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2009.5205816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We introduce and analyze a biologically motivated mathematical model of a neuron in primary cortex that we call neuron j, or just j. Our goal is to ascertain how j maximizes the ratio of the information it conveys to the energy it expends.
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