An unsupervised and probabilistic approach to Pavlov's dog experiment with OxRAM devices

M. Pedro, J. Martin-Martinez, R. Rodriguez, M. B. Gonzalez, F. Campabadal, M. Nafria

Research output: Contribution to journalArticleResearch

Abstract

© 2019 Elsevier B.V. In this work, a potential basis for implementing unsupervised associative learning in two or more memristors within neuromorphic architectures is proposed. The experimental demonstration is carried out by means of emulating the Pavlov's dog classical conditioning experiment with two OxRAM devices, in which the dependence of the probability of association on test parameters, such as the pulse amplitude, is studied.
Original languageEnglish
Article number111024
JournalMicroelectronic Engineering
Volume215
DOIs
Publication statusPublished - 15 Jul 2019

Keywords

  • Associative learning
  • Memristors
  • Neuromorphic
  • OxRAM
  • Unsupervised learning

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