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Memristor Networks

  • Book
  • © 2014

Overview

Editors:
  1. Andrew Adamatzky

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

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  2. Leon Chua

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

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    You can also search for this editor in PubMed   Google Scholar

  • 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
    Download chapter PDF

  2. The Fourth Element

    • Leon Chua
    Pages 1-13

  3. Aftermath of Finding the Memristor

    • R. Stanley Williams
    Pages 15-19

  4. Resistance Switching Memories Are Memristors

    • Leon Chua
    Pages 21-51

  5. The Detectors Used in the First Radios Were Memristors

    • Gaurav Gandhi, Varun Aggarwal, Leon O. Chua
    Pages 53-66

  6. Memristor, Hodgkin-Huxley, and Edge of Chaos

    • Leon Chua
    Pages 67-94

  7. Why Are Memristor and Memistor Different Devices?

    • Shyam Prasad Adhikari, Hyongsuk Kim
    Pages 95-112

  8. Synapse as a Memristor

    • Weiran Cai, Ronald Tetzlaff
    Pages 113-128

  9. Memristors and Memristive Devices for Neuromorphic Computing

    • Patrick Sheridan, Wei Lu
    Pages 129-149

  10. Bio-inspired Neural Networks

    • Andy Thomas, Christian Kaltschmidt
    Pages 151-172

  11. 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

  12. Spike-Timing-Dependent-Plasticity with Memristors

    • T. Serrano-Gotarredona, T. Masquelier, B. Linares-Barranco
    Pages 211-247

  13. Memristor Bridge-Based Artificial Neural Weighting Circuit

    • Hyongsuk Kim, Maheshwar P. Sah, Changju Yang, Tamás Roska, Leon O. Chua
    Pages 249-265

  14. Cellular Nonlinear Networks with Memristor Synapses

    • Fernando Corinto, Alon Ascoli, Young-Su Kim, Kyeong-Sik Min
    Pages 267-291

  15. Evolving Memristive Neural Networks

    • Gerard David Howard, Larry Bull, Ben De Lacy Costello, Ella Gale, Andrew Adamatzky
    Pages 293-322

  16. Behavior of Multiple Memristor Circuits

    • Ram Kaji Budhathoki, Maheshwar P. Sah, Shyam Prasad Adhikari, Hyongsuk Kim, Leon Chua
    Pages 323-349

  17. A Memristor-Based Chaotic System with Boundary Conditions

    • Xiaofang Hu, Guanrong Chen, Shukai Duan, Gang Feng
    Pages 351-364

  18. Spiking in Memristor Networks

    • Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
    Pages 365-387

  19. Organic Memristive Devices and Neuromorphic Circuits

    • Victor Erokhin
    Pages 389-411

  20. Memristive in Situ Computing

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

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

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