University of Hertfordshire

Delayed switching applied to memristor neural networks

Research output: Contribution to journalArticle

  • Frank Z. Wang
  • Na Helian
  • Sining Wu
  • Xiao Yang
  • Yike Guo
  • Guan Lim
  • Md Mamunur Rashid
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Original languageEnglish
Article number07E317
JournalJournal of Applied Physics
Volume111
Issue7
DOIs
Publication statusPublished - 2012

Abstract

Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the “delayed switching effect.” In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons

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