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Hopfield Network with Interneuronal Connections Based on Memristor Bridges

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Book cover Advances in Neural Networks – ISNN 2016 (ISNN 2016)

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Abstract

A scheme for the Hopfield associative memory hardware implementation with interneuronal connections through bridges using memristors is proposed. The Hopfield associative memory is realized as a network of coupled phase oscillators. It is shown how to use the CMOS transistor switches to control the memristance (memristor resistance) value.

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Authors and Affiliations

  1. A.V. Rzhanov Institute of Semiconductor Physics SB RAS, Novosibirsk, Russia

    Mikhail S. Tarkov

Authors
  1. Mikhail S. Tarkov
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Correspondence to Mikhail S. Tarkov .

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Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Tarkov, M.S. (2016). Hopfield Network with Interneuronal Connections Based on Memristor Bridges. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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