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A TaOx-Based Electronic Synapse With High Precision for Neuromorphic Computing
DOI:10.1109/ACCESS.2019.2961166.png)
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
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays观点: 大规模神经形态阵列的人工突触的均匀切换
APL MATERIALS
IF4.5
Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine基于点积引擎的忆阻器模拟计算和神经网络分类
ADVANCED MATERIALS
IF26.8

