D. Homouz, Z. Abid, B. Mohammad, Y. Halawani, Michael Jacobson
{"title":"Memristors for digital, memory and neuromorphic circuits","authors":"D. Homouz, Z. Abid, B. Mohammad, Y. Halawani, Michael Jacobson","doi":"10.1109/ICM.2013.6734970","DOIUrl":null,"url":null,"abstract":"The Memristor, as the newly discovered fourth circuit element, is being used in many applications such as memory and digital circuits, as well as neuromorphic systems. The unique characteristics of the memristor: retaining its resistance state, ability to behave as a switch and consequently the possibility to be used in both memory and digital circuits. Its resistance can also change gradually allowing the potential of mimicking neural chemical synapses. These applications of the memristor will be reviewed and discussed using a nonlinear mathematical model of physical bipolar memristor devices.","PeriodicalId":372346,"journal":{"name":"2013 25th International Conference on Microelectronics (ICM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 25th International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2013.6734970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The Memristor, as the newly discovered fourth circuit element, is being used in many applications such as memory and digital circuits, as well as neuromorphic systems. The unique characteristics of the memristor: retaining its resistance state, ability to behave as a switch and consequently the possibility to be used in both memory and digital circuits. Its resistance can also change gradually allowing the potential of mimicking neural chemical synapses. These applications of the memristor will be reviewed and discussed using a nonlinear mathematical model of physical bipolar memristor devices.
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