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A TaO x -Based Electronic Synapse With High Precision for Neuromorphic Computing

Sen Liu, Kun Li, Yi Sun and 5 more

IEEE Access · 2019

doi:10.1109/access.2019.2961166 (opens in a new tab)

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Abstract

Neuromorphic computing is a promising candidate for breaking the von Neumann bottleneck and developing high-efficient computing systems. Here we present a W/TaO<sub>x</sub>/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 &#x00D7; 60 &#x00D7; 10 three-layer perceptron was constructed with W/TaO<sub>x</sub>/Pt synapses for MNIST classification and ~92% accuracy was achieved.

Abstract licence: CC BY-NC-ND

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