{"title":"基于铁电场效应晶体管的超低硬件成本侧分裂抑制神经形态计算实现","authors":"Shuhan Liu, Tianyi Liu, Zhiyuan Fu, Cheng Chen, Qianqian Huang, Ru Huang","doi":"10.1109/CSTIC49141.2020.9282540","DOIUrl":null,"url":null,"abstract":"In this work, a novel bio-inspired hardware design of lateral divisive inhibition is proposed and demonstrated by using only one transistor of ferroelectric FET. The proposed design is simulated based on our developed FeFET model, and is also proved to be functional in spiking neural network. The new design with ultra-low hardware cost exhibits good biological plausibility, showing its great potential for neuromorphic computing.","PeriodicalId":6848,"journal":{"name":"2020 China Semiconductor Technology International Conference (CSTIC)","volume":"31 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Lateral Divisive Inhibition Based on Ferroelectric Fet with Ultra-Low Hardware Cost for Neuromorphic Computing\",\"authors\":\"Shuhan Liu, Tianyi Liu, Zhiyuan Fu, Cheng Chen, Qianqian Huang, Ru Huang\",\"doi\":\"10.1109/CSTIC49141.2020.9282540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, a novel bio-inspired hardware design of lateral divisive inhibition is proposed and demonstrated by using only one transistor of ferroelectric FET. The proposed design is simulated based on our developed FeFET model, and is also proved to be functional in spiking neural network. The new design with ultra-low hardware cost exhibits good biological plausibility, showing its great potential for neuromorphic computing.\",\"PeriodicalId\":6848,\"journal\":{\"name\":\"2020 China Semiconductor Technology International Conference (CSTIC)\",\"volume\":\"31 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 China Semiconductor Technology International Conference (CSTIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSTIC49141.2020.9282540\",\"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 China Semiconductor Technology International Conference (CSTIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSTIC49141.2020.9282540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Lateral Divisive Inhibition Based on Ferroelectric Fet with Ultra-Low Hardware Cost for Neuromorphic Computing
In this work, a novel bio-inspired hardware design of lateral divisive inhibition is proposed and demonstrated by using only one transistor of ferroelectric FET. The proposed design is simulated based on our developed FeFET model, and is also proved to be functional in spiking neural network. The new design with ultra-low hardware cost exhibits good biological plausibility, showing its great potential for neuromorphic computing.
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