Memristive Synapses for Brain-Inspired Computing
文献类型：期刊论文
| 作者 | Wang, Jingrui; Zhuge, Fei |
| 刊名 | ADVANCED MATERIALS TECHNOLOGIES
 |
| 出版日期 | 2019 |
| 卷号 | 4期号:3 |
| 关键词 | RESISTIVE-SWITCHING MEMORY MAGNETIC TUNNEL-JUNCTIONS LONG-TERM POTENTIATION PHASE-CHANGE MEMORY RRAM DEVICES SYNAPTIC PLASTICITY CONDUCTANCE LINEARITY ELECTRONIC SYNAPSES IMPLEMENTATION SYSTEM |
| DOI | 10.1002/admt.201800544 |
| 英文摘要 | Memristive Synapses for Brain-Inspired Computing |
| 源URL | [http://ir.nimte.ac.cn/handle/174433/18508]  |
| 专题 | 2019专题 |
| 作者单位 | 1.Zhuge, F (reprint author), Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Key Lab Graphene Technol & Applicat Zhejiang Prov, Ningbo 315201, Zhejiang, Peoples R China. 2.Zhuge, F (reprint author), Fudan Univ, State Key Lab ASIC & Syst, Shanghai 201203, Peoples R China. |
| 推荐引用方式 GB/T 7714 | Wang, Jingrui,Zhuge, Fei. Memristive Synapses for Brain-Inspired Computing[J]. ADVANCED MATERIALS TECHNOLOGIES,2019,4(3). |
| APA | Wang, Jingrui,&Zhuge, Fei.(2019).Memristive Synapses for Brain-Inspired Computing.ADVANCED MATERIALS TECHNOLOGIES,4(3). |
| MLA | Wang, Jingrui,et al."Memristive Synapses for Brain-Inspired Computing".ADVANCED MATERIALS TECHNOLOGIES 4.3(2019). |
入库方式： OAI收割
来源：宁波材料技术与工程研究所
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