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A TaOx-Based Electronic Synapse With High Precision for Neuromorphic Computing

delete2019-01-01
delete6
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OA
AI
S
Sen Liu
K
Kun Li
Y
Yi Sun
X
Xi Zhu
Z
Zhiwei Li
B
Bing Song
H
Haijun Liu
Q
Qingjiang Li *
DOI:10.1109/ACCESS.2019.2961166delete
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摘要

摘要

En 中文
Neuromorphic computing is a promising candidate for breaking the von Neumann bottleneck and developing high-efficient computing systems. Here we present a W/TaOx/Pt high-precision electronic synapse with excellent analog properties for neuromorphic computing. The device exhibits the potential of 10-bit weight precision, which is state of the art in conductance levels. Furthermore, the device shows linear weight update behavior in a specific conductance range, linear I-V curves in low voltage regime, long time retention, and precise modulation of weight. These characteristics are very helpful for improving the accuracy of neuromorphic networks. Finally, a 400 x 60 x 10 three-layer perceptron was constructed with W/TaOx/Pt synapses for MNIST classification and similar to 92% accuracy was achieved.
Keyword:
Memristor
electronic synapse
neuromorphic computing
MNIST classification
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期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

N
national university of defense technology - china
学者数:
1.8W
论文数: 1.4W
被引数: 9
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