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Memristor Networks

  • Andrew Adamatzky
  • Leon Chua

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Leon Chua
    Pages 1-13
  3. R. Stanley Williams
    Pages 15-19
  4. Gaurav Gandhi, Varun Aggarwal, Leon O. Chua
    Pages 53-66
  5. Shyam Prasad Adhikari, Hyongsuk Kim
    Pages 95-112
  6. Weiran Cai, Ronald Tetzlaff
    Pages 113-128
  7. Patrick Sheridan, Wei Lu
    Pages 129-149
  8. Andy Thomas, Christian Kaltschmidt
    Pages 151-172
  9. Adam Z. Stieg, Audrius V. Avizienis, Henry O. Sillin, Renato Aguilera, Hsien-Hang Shieh, Cristina Martin-Olmos et al.
    Pages 173-209
  10. T. Serrano-Gotarredona, T. Masquelier, B. Linares-Barranco
    Pages 211-247
  11. Hyongsuk Kim, Maheshwar P. Sah, Changju Yang, Tamás Roska, Leon O. Chua
    Pages 249-265
  12. Fernando Corinto, Alon Ascoli, Young-Su Kim, Kyeong-Sik Min
    Pages 267-291
  13. Gerard David Howard, Larry Bull, Ben De Lacy Costello, Ella Gale, Andrew Adamatzky
    Pages 293-322
  14. Ram Kaji Budhathoki, Maheshwar P. Sah, Shyam Prasad Adhikari, Hyongsuk Kim, Leon Chua
    Pages 323-349
  15. Xiaofang Hu, Guanrong Chen, Shukai Duan, Gang Feng
    Pages 351-364
  16. Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
    Pages 365-387
  17. Omid Kavehei, Efstratios Skafidas, Kamran Eshraghian
    Pages 413-428
  18. Davide Sacchetto, Pierre-Emmanuel Gaillardon, Yusuf Leblebici, Giovanni De Micheli
    Pages 429-472
  19. K’Andrea Bickerstaff, Earl E. Swartzlander Jr.
    Pages 473-486
  20. Dalibor Biolek
    Pages 487-503
  21. Ioannis Vourkas, Georgios C. Sirakoulis
    Pages 505-535
  22. Zhanyou Ye, Shi Hong Marcus Wu, Themistoklis Prodromakis
    Pages 537-552
  23. Chuan Kai Kenneth Lim, A. Gelencser, T. Prodromakis
    Pages 553-583
  24. Jacek Flak, Jonne K. Poikonen
    Pages 585-601
  25. Eero Lehtonen, Jussi H. Poikonen, Mika Laiho
    Pages 603-623
  26. Viet-Thanh Pham, Arturo Buscarino, Mattia Frasca, Luigi Fortuna
    Pages 637-647
  27. Back Matter
    Pages 715-720

About this book

Introduction

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.

Keywords

Computation Dynamics Logic Memristor Cellular Automata Memristor Circuits Memristor Networks

Editors and affiliations

  • Andrew Adamatzky
    • 1
  • Leon Chua
    • 2
  1. 1.Computer Science DepartmentUniversity of the West of EnglandBristolUnited Kingdom
  2. 2.Electrical Engineering and Computer Sciences DepartmentUniversity of CaliforniaBerkeleyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-02630-5
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-02629-9
  • Online ISBN 978-3-319-02630-5
  • Buy this book on publisher's site
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