4.6 Article

Memristor crossbar-based unsupervised image learning

期刊

NEURAL COMPUTING & APPLICATIONS
卷 25, 期 2, 页码 393-400

出版社

SPRINGER LONDON LTD
DOI: 10.1007/s00521-013-1501-0

关键词

Memristor crossbar; CMOS unit; Image average learning; Time slot; Noise

资金

  1. Fundamental Research Funds for the Central Universities [CDJXS12180010]
  2. National Natural Science Foundation of China [61374048]
  3. National Priority Research Project - Qatar National Research Fund, Qatar [NPRP 4-1162-1-181]

向作者/读者索取更多资源

This letter presents a new memristor crossbar array system and demonstrates its applications in image learning. The controlled pulse and image overlay technique are introduced for the programming of memristor crossbars and promising a better performance for noise reduction. The time-slot technique is helpful for improving the processing speed of image. Simulink and numerical simulations have been employed to demonstrate the useful applications of the proposed circuit structure in image learning.

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