{"title":"通过忆阻器模拟反射动作","authors":"Apurv Mittal, S. Swaminathan","doi":"10.1109/IEEEGCC.2011.5752558","DOIUrl":null,"url":null,"abstract":"The paper describes a method to simulate the reflex action of human beings in a robot. The paper uses the recently discovered memristors to implement a method for the reflex action, using a configuration of memristors developed to form multi-directional circuits. The benefit of memristive systems is that they are capable of integrating both data storage and data processing in a single device, which offers the potential to more closely emulate the capabilities of biological intelligence.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Emulating reflex actions through memristors\",\"authors\":\"Apurv Mittal, S. Swaminathan\",\"doi\":\"10.1109/IEEEGCC.2011.5752558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes a method to simulate the reflex action of human beings in a robot. The paper uses the recently discovered memristors to implement a method for the reflex action, using a configuration of memristors developed to form multi-directional circuits. The benefit of memristive systems is that they are capable of integrating both data storage and data processing in a single device, which offers the potential to more closely emulate the capabilities of biological intelligence.\",\"PeriodicalId\":119104,\"journal\":{\"name\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEEGCC.2011.5752558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE GCC Conference and Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2011.5752558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper describes a method to simulate the reflex action of human beings in a robot. The paper uses the recently discovered memristors to implement a method for the reflex action, using a configuration of memristors developed to form multi-directional circuits. The benefit of memristive systems is that they are capable of integrating both data storage and data processing in a single device, which offers the potential to more closely emulate the capabilities of biological intelligence.
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