神经形态工程学
记忆电阻器
突触
纤维
符号
材料科学
人工神经网络
物理
计算机科学
电气工程
数学
人工智能
工程类
神经科学
算术
复合材料
生物
作者
Jialin Meng,Yue Liu,Yuqing Fang,Zhenhai Li,Jun-Feng Song,Tianyu Wang,Hao Zhu,Peining Chen,Qi Sun,David Wei Zhang,Lin Chen
出处
期刊:IEEE Electron Device Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-07-01
卷期号:44 (7): 1220-1223
被引量:2
标识
DOI:10.1109/led.2023.3274828
摘要
Fiber-shaped memristors have attracted enormous attention as potential wearable electronics. Here, a Cu-ion diffusive memristor with fiber shape was proposed for artificial synapse and neuromorphic computing. The fiber-shaped diffusive memristor exhibits gradual conductance modulation characteristics under consecutive voltage sweeps. Typical synaptic plasticity including EPSC, PPF, PPD, LTP/LTD and learning behaviors were all successfully achieved by the memristor. The active Cu $^{{2}+}$ of diffusive memristor was similar as Ca $^{{2}+}$ diffusion in biological synapse, which is the basis of realizing the functions of synaptic plasticity. The fiber-shaped Cu $^{{2}+}$ diffusive memristor acting as artificial synapse paves the way for next-generation wearable neuromorphic computing system.
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