{"title":"栅极氧化物捕获使能突触逻辑晶体管","authors":"X. Ju, D. Ang","doi":"10.1109/IRPS45951.2020.9129338","DOIUrl":null,"url":null,"abstract":"Brain-inspired neuromorphic systems have attracted much attention as a new computing paradigm for energy-efficient computation by enabling massive parallelism in artificial neural networks. The successful realization of a large-scale manufacturable artificial synapse holds the key to a full-fledged neuromorphic hardware application. This work reveals basic synaptic-like responses in the output characteristics of a normal logic CMOS transistor (with EOT < 2 nm), enabled by charge trapping dynamics at oxide defects. In addition, metaplasticity, a higher order synaptic response, is also observed by encoding relative timing. Given the mature transistor technology, a synaptic logic transistor may potentially offer a quicker pathway towards commercial neuromorphic systems.","PeriodicalId":116002,"journal":{"name":"2020 IEEE International Reliability Physics Symposium (IRPS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gate-Oxide Trapping Enabled Synaptic Logic Transistor\",\"authors\":\"X. Ju, D. Ang\",\"doi\":\"10.1109/IRPS45951.2020.9129338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brain-inspired neuromorphic systems have attracted much attention as a new computing paradigm for energy-efficient computation by enabling massive parallelism in artificial neural networks. The successful realization of a large-scale manufacturable artificial synapse holds the key to a full-fledged neuromorphic hardware application. This work reveals basic synaptic-like responses in the output characteristics of a normal logic CMOS transistor (with EOT < 2 nm), enabled by charge trapping dynamics at oxide defects. In addition, metaplasticity, a higher order synaptic response, is also observed by encoding relative timing. Given the mature transistor technology, a synaptic logic transistor may potentially offer a quicker pathway towards commercial neuromorphic systems.\",\"PeriodicalId\":116002,\"journal\":{\"name\":\"2020 IEEE International Reliability Physics Symposium (IRPS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Reliability Physics Symposium (IRPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRPS45951.2020.9129338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Reliability Physics Symposium (IRPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS45951.2020.9129338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brain-inspired neuromorphic systems have attracted much attention as a new computing paradigm for energy-efficient computation by enabling massive parallelism in artificial neural networks. The successful realization of a large-scale manufacturable artificial synapse holds the key to a full-fledged neuromorphic hardware application. This work reveals basic synaptic-like responses in the output characteristics of a normal logic CMOS transistor (with EOT < 2 nm), enabled by charge trapping dynamics at oxide defects. In addition, metaplasticity, a higher order synaptic response, is also observed by encoding relative timing. Given the mature transistor technology, a synaptic logic transistor may potentially offer a quicker pathway towards commercial neuromorphic systems.