Brain-like synaptic memristor based on lithiumdoped silicate for neuromorphic computing

查看全文 作　　者：Shanwu [1]Ke;Li [1]Jiang;Yifan [1]Zhao;Yongyue [1]Xiao;Bei [1]Jiang;Gong [1]Cheng;Facai [3]Wu;Guangsen [1]Cao;Zehui [1]Peng;Min [2]Zhu;Cong [1]Ye

机构地区：[1]Faculty of Physics and Electronic Science,Hubei University,Wuhan 430062,China;[2]Shanghai Institute of Micro-system and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China;[3]Institute of Electronics,Chiao Tung University,Hsinchu 30010,Taiwan,China

出　　处：《Frontiers of physics》索引2022年第17卷第5期,共6页

基　　金：This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No.XDB44000000;the National Natural Science Foundation of China(No.61774057)。 摘　　要：Artificial synapse is one of the potential electronics for constructing neural network hardware.In this work,Pt/LiSiO_(x)/TiN analog artificial synapse memristor is designed and investigated.With the increase of compliance current(C.C.)under 0.6 mA,1 mA,and 3 mA,the current in the high resistance state(HRS)presents an increasing variation,which indicates lithium ions participates in the operation process for Pt/LiSiO_(x)/TiN memristor.Moreover,depending on the movement of lithium ions in the functional layer,the memristor illustrates excellent conduction modulation property,so the long-term potentiation(LTP)or depression(LTD)and paired-pulse facilitation(PPF)synaptic functions are successfully achieved.The neural network simulation for pattern recognition is proposed with the recognition accuracy of 91.4%.These findings suggest the potential application of the LiSiO_(x)memristor in the neuromorphic computing. 关键词：artificial synapse lithium silicate MEMRISTOR neuromorphic computing resistive switching

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Brain-like synaptic memristor based on lithiumdoped silicate for neuromorphic computing

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