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A brain-plausible neuromorphic on-the-fly learning system implemented with magnetic domain wall analog memristors

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Science Advances  26 Apr 2019:
Vol. 5, no. 4, eaau8170
DOI: 10.1126/sciadv.aau8170

Article Information

vol. 5 no. 4

Online ISSN: 
History: 
  • Received for publication July 31, 2018
  • Accepted for publication March 7, 2019
  • .

Author Information

  1. Kun Yue1,*,
  2. Yizhou Liu2,*,
  3. Roger K. Lake2, and
  4. Alice C. Parker1,
  1. 1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  2. 2Department of Electrical and Computing Engineering, University of California, Riverside, CA 92521, USA.
  1. Corresponding author. Email: rlake{at}ece.ucr.edu (R.K.L.); parker{at}usc.edu (A.C.P.)
  • * These authors contributed equally to this work.

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