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Memristor Networks

  • Provides a comprehensive review of the research results on the theory and applications of memristors
  • Covers all aspects of memristor networks in detail
  • Explains how to realise computing devices from memristors
  • Includes supplementary material: sn.pub/extras

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Table of contents (30 chapters)

  1. Front Matter

    Pages I-XVII
  2. The Fourth Element

    • Leon Chua
    Pages 1-13
  3. Aftermath of Finding the Memristor

    • R. Stanley Williams
    Pages 15-19
  4. The Detectors Used in the First Radios Were Memristors

    • Gaurav Gandhi, Varun Aggarwal, Leon O. Chua
    Pages 53-66
  5. Why Are Memristor and Memistor Different Devices?

    • Shyam Prasad Adhikari, Hyongsuk Kim
    Pages 95-112
  6. Synapse as a Memristor

    • Weiran Cai, Ronald Tetzlaff
    Pages 113-128
  7. Memristors and Memristive Devices for Neuromorphic Computing

    • Patrick Sheridan, Wei Lu
    Pages 129-149
  8. Bio-inspired Neural Networks

    • Andy Thomas, Christian Kaltschmidt
    Pages 151-172
  9. Self-organization and Emergence of Dynamical Structures in Neuromorphic Atomic Switch Networks

    • Adam Z. Stieg, Audrius V. Avizienis, Henry O. Sillin, Renato Aguilera, Hsien-Hang Shieh, Cristina Martin-Olmos et al.
    Pages 173-209
  10. Spike-Timing-Dependent-Plasticity with Memristors

    • T. Serrano-Gotarredona, T. Masquelier, B. Linares-Barranco
    Pages 211-247
  11. Memristor Bridge-Based Artificial Neural Weighting Circuit

    • Hyongsuk Kim, Maheshwar P. Sah, Changju Yang, Tamás Roska, Leon O. Chua
    Pages 249-265
  12. Cellular Nonlinear Networks with Memristor Synapses

    • Fernando Corinto, Alon Ascoli, Young-Su Kim, Kyeong-Sik Min
    Pages 267-291
  13. Evolving Memristive Neural Networks

    • Gerard David Howard, Larry Bull, Ben De Lacy Costello, Ella Gale, Andrew Adamatzky
    Pages 293-322
  14. Behavior of Multiple Memristor Circuits

    • Ram Kaji Budhathoki, Maheshwar P. Sah, Shyam Prasad Adhikari, Hyongsuk Kim, Leon Chua
    Pages 323-349
  15. A Memristor-Based Chaotic System with Boundary Conditions

    • Xiaofang Hu, Guanrong Chen, Shukai Duan, Gang Feng
    Pages 351-364
  16. Spiking in Memristor Networks

    • Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
    Pages 365-387
  17. Memristive in Situ Computing

    • Omid Kavehei, Efstratios Skafidas, Kamran Eshraghian
    Pages 413-428

About this book

Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

Editors and Affiliations

  • Computer Science Department, University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

  • Electrical Engineering and Computer Sciences Department, University of California, Berkeley, USA

    Leon Chua

Bibliographic Information

  • Book Title: Memristor Networks

  • Editors: Andrew Adamatzky, Leon Chua

  • DOI: https://doi.org/10.1007/978-3-319-02630-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-02629-9Published: 10 January 2014

  • Softcover ISBN: 978-3-319-35231-2Published: 17 September 2016

  • eBook ISBN: 978-3-319-02630-5Published: 18 December 2013

  • Edition Number: 1

  • Number of Pages: XVII, 720

  • Number of Illustrations: 168 b/w illustrations, 283 illustrations in colour

  • Topics: Computer Hardware, Theory of Computation, Circuits and Systems

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access