Complementary memtransistors for neuromorphic computing: How, what and whyOACSTPCDEI
Memtransistors in which the source-drain channel conductance can be nonvolatilely manipulated through the gate signals have emerged as promising components for implementing neuromorphic computing.On the other side,it is known…查看全部>>
Qi Chen;Yue Zhou;Weiwei Xiong;Zirui Chen;Yasai Wang;Xiangshui Miao;Yuhui He
School of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,ChinaDepartment of Electrical and Computer Engineering,University of California,San Diego,USASchool of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,ChinaDipartimento di Elettronica e Informazione and IU.NET,Politecnico di Milano,Milano,Italy School of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,ChinaDepartment of Applied Physics,Hong Kong Polytechnic University,Hong Kong,China School of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,ChinaSchool of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,ChinaSchool of Integrated Circuits,Huazhong University of Science and Technology,Wuhan 430074,China
电子信息工程
complementary memtransistorneuromorphic computingreward-modulated spike timing-dependent plasticityremote supervise methodin-sensor computing
《Journal of Semiconductors》 2024 (6)
P.64-80,17
supported by the National Key Research and Development Program of China(No.2023YFB4502200)Natural Science Foundation of China(Nos.92164204 and 62374063)the Science and Technology Major Project of Hubei Province(No.2022AEA001).
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