A tantalum oxide based memristive neuron device for anomaly detection application

被引:0
|
作者
Wu, Zuheng [1 ]
Hu, Yang [1 ]
Feng, Zhe [1 ]
Zou, Jianxun [1 ]
Guo, Wenbin [1 ]
Lu, Jian [2 ]
Shi, Tuo [2 ,3 ]
Tan, Su [1 ]
Wang, Zeqing [1 ]
Yu, Ruihan [1 ]
Zhu, Yunlai [1 ]
Xu, Zuyu [1 ]
Dai, Yuehua [1 ]
机构
[1] Anhui Univ, Sch Integrated Circuits, Hefei 230601, Anhui, Peoples R China
[2] Zhejiang Lab, Res Ctr Intelligent Comp Hardware, Hangzhou 311122, Peoples R China
[3] Chinese Acad Sci, Inst Microelect, Key Lab Fabricat Technol Integrated Circuits, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Neurons;
D O I
10.1063/5.0212850
中图分类号
O59 [应用物理学];
学科分类号
摘要
Anomaly detection, a data intensive task, is very important in wide application scenarios. Memristor has shown excellent performance in data intensive tasks. However, memristor used for anomaly detection has rarely been reported. In this Letter, a tantalum oxide (TaOx) memristive neuron device has been developed for anomaly detection application. TaOx, a CMOS compatible material, based memristor shows reliable threshold switching characteristics, which is suitable for constructing memristive neuron. Furthermore, the output frequency of the memristive neuron is found to be proportionate to the applied stimulus intensity and at an inflection point starts to decrease, namely, thresholding effect. Based on the thresholding effect of the neuron output, the application of the memristive neuron for anomaly detection has been simulated. The results indicate that the TaOx memristive neuron with thresholding effect shows better performance (98.78%) than the neuron without threshoding effect (90.89%) for anomaly detection task. This work provided an effective idea for developing memristive anomaly detection system.
引用
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页数:4
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