Skip to main content
  • Book
  • © 2019

Handbook of Memristor Networks

  • Covers all aspects of memristor networks in detail

  • Explains how to realise computing devices from memristors

  • Presents the latest developments in the field of memristor networks

Buying options

eBook USD 309.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-76375-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 399.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (47 chapters)

  1. Bio-inspired Neural Networks

    • Andy Thomas, Christian Kaltschmidt
    Pages 595-617
  2. Memristor Bridge-Based Artificial Neural Weighting Circuit

    • Hyongsuk Kim, Maheshwar Pd Sah, Changju Yang, Tamás Roska, Leon O. Chua
    Pages 619-635
  3. Cellular Nonlinear Networks with Memristor Synapses

    • Fernando Corinto, Alon Ascoli, Young-Su Kim, Kyeong-Sik Min
    Pages 637-660
  4. Evolving Memristive Neural Networks

    • Gerard David Howard, Larry Bull, Ben De Lacy Costello, Ella Gale, Andrew Adamatzky
    Pages 661-690
  5. Spiking Neural Computing in Memristive Neuromorphic Platforms

    • Mahyar Shahsavari, Philippe Devienne, Pierre Boulet
    Pages 691-728
  6. Associative Networks and Perceptron Based on Memristors: Fundamentals and Algorithmic Implementation

    • Catarina Dias, Daniel J. Silva, Paulo Aguiar, João Ventura
    Pages 729-765
  7. Spiking in Memristor Networks

    • Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
    Pages 767-789
  8. Resistive Switching Devices: Mechanism, Performance and Integration

    • Ming Liu, Qi Liu, Hangbing Lv, Shibing Long
    Pages 843-911
  9. Behavior of Multiple Memristor Circuits

    • Ram Kaji Budhathoki, Maheshwar Pd. Sah, Shyam Prasad Adhikari, Hyongsuk Kim, Leon Chua
    Pages 913-940
  10. A Memristor-Based Chaotic System with Boundary Conditions

    • Xiaofang Hu, Guanrong Chen, Shukai Duan, Gang Feng
    Pages 941-954
  11. Switching Synchronization and Metastable States in 1D Memristive Networks

    • Valeriy A. Slipko, Yuriy V. Pershin
    Pages 955-971
  12. Modeling Memristor–Based Circuit Networks on Crossbar Architectures

    • Ioannis Vourkas, Georgios Ch. Sirakoulis
    Pages 973-1004
  13. Memristive In Situ Computing

    • Omid Kavehei, Efstratios Skafidas, Kamran Eshraghian
    Pages 1005-1020
  14. Memory Effects in Multi-terminal Solid State Devices and Their Applications

    • Davide Sacchetto, Pierre-Emmanuel Gaillardon, Yusuf Leblebici, Giovanni De Micheli
    Pages 1021-1064
  15. A Taxonomy and Evaluation Framework for Memristive Logic

    • John Reuben, Nishil Talati, Nimrod Wald, Rotem Ben-Hur, Ameer Haj Ali, Pierre-Emmanuel Gaillardon et al.
    Pages 1065-1099
  16. Memristive Stateful Logic

    • Eero Lehtonen, Jussi H. Poikonen, Mika Laiho
    Pages 1101-1121
  17. Memristor-Based Addition and Multiplication

    • K’Andrea Bickerstaff, Earl E. Swartzlander Jr.
    Pages 1123-1136

About this book

This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware.

With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.


  • Memristor Networks
  • Two-terminal device
  • State-dependent Ohm's law
  • Computation
  • Electronic component

Editors and Affiliations

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

    Leon Chua

  • Democritus University of Thrace, Xanthi, Greece

    Georgios Ch. Sirakoulis

  • Department of Computer Science and Creative Technologies, University of the West of England, Bristol, UK

    Andrew Adamatzky

About the editors

Leon Chua is a Professor in Electrical and Computer Science at Berkeley. His research interests include Cellular Neural/Nonlinear Networks, Nonlinear Circuits and Systems, Nonlinear Dynamics, Bifurcation and Chaos.

Dr. Georgios Ch. Sirakoulis is an Associate Professor with tenure in the Department of Electrical and Computer Engineering, Democritus University of Thrace. His research interests include Nanoelectronics and nanotechnology, future and emergent electronic devices, circuits, models and architectures (memristors, quantum cellular automata etc.), Novel and Emergent micro-nano systems and circuits, beyond CMOS computing devices and circuits, Memristors, Green and Unconventional computing, High performance Computing, Novel paradigms of computing, Cyber-Physical and Embedded Systems, Bioinspired computation/ biocomputation and bioengineering, Cellular Automata Theory and Applications, FPGAs, Modelling and Simulation, Complex systems. 

Andrew Adamatzky is a Professor in Unconventional Computing in the Department of Computer Science, Director of the Unconventional Computing Centre, and a member of Bristol Robotics Lab. His research is in reaction-diffusion computing, cellular automata, physarum computing, massive parallel computation, applied mathematics, collective intelligence and robotics.

Bibliographic Information

  • Book Title: Handbook of Memristor Networks

  • Editors: Leon Chua, Georgios Ch. Sirakoulis, Andrew Adamatzky

  • DOI:

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-319-76374-3

  • eBook ISBN: 978-3-319-76375-0

  • Edition Number: 1

  • Number of Pages: XIV, 1368

  • Number of Illustrations: 175 b/w illustrations, 615 illustrations in colour

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

Buying options

eBook USD 309.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-76375-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 399.99
Price excludes VAT (USA)