Memristors and Memristive Systems

  • Ronald Tetzlaff

Table of contents

  1. Front Matter
    Pages i-x
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. R. Stanley Williams
      Pages 3-16
    3. Leon Chua
      Pages 17-90
  3. Theory, Modeling, and Simulation

    1. Front Matter
      Pages 91-91
    2. R. Stanley Williams, Matthew D. Pickett
      Pages 93-104
    3. Dalibor Biolek, Zdenek Biolek
      Pages 105-162
    4. Alon Ascoli, Torsten Schmidt, Ronald Tetzlaff, Fernando Corinto
      Pages 163-191
  4. Memristive Devices and Applications

    1. Front Matter
      Pages 193-193
    2. Yuchao Yang, Ting Chang, Wei Lu
      Pages 195-221
    3. Vikas Rana, Rainer Waser
      Pages 223-251
    4. Davide Sacchetto, Yusuf Leblebici, Giovanni De Micheli
      Pages 253-280
    5. Yiran Chen, Hai Li, Zhenyu Sun
      Pages 281-298
  5. Reconfigurable Logic Circuits and Neuromorphic Systems

    1. Front Matter
      Pages 299-299
    2. Sung-Mo Steve Kang, Sangho Shin
      Pages 301-325
    3. Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
      Pages 353-377
    4. Alon Ascoli, Fernando Corinto, Marco Gilli, Ronald Tetzlaff
      Pages 379-403
  6. Back Matter
    Pages 405-409

About this book


This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance.  Details are shown for recent applications of memristors for resistive random access memories, neuromorphic systems and hybrid CMOS/memristor circuits. Methods for the simulation of memristors are demonstrated and an introduction to neuromorphic modeling is provided.

·         Provides a single-source reference to the state of the art in memristor research;

·         Explains the theory of memristors and memristive networks;

·         Demonstrates a variety of memristor realizations with focus on resistive random access memories;

·         Enables readers to use neuromorphic modeling to understand complex phenomena in biological systems.


EmergingMemory HP Memristors Memristive Systems Memristor Based Circuits Memristor Devices Memristors Neuromorphic Architecture Neuromorphic Modeling Resistive Random Access Memory

Editors and affiliations

  • Ronald Tetzlaff
    • 1
  1. 1.Faculty of Electrical and Computer EngineeringInstitute of Circuits and Systems, Technische Universität DresdenDresdenGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-9067-8
  • Online ISBN 978-1-4614-9068-5
  • Buy this book on publisher's site
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