Nature Communications (Jan 2021)

Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

  • Yanan Zhong,
  • Jianshi Tang,
  • Xinyi Li,
  • Bin Gao,
  • He Qian,
  • Huaqiang Wu

DOI
https://doi.org/10.1038/s41467-020-20692-1
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 9

Abstract

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Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction error of 0.046 in the Hénon map.