Advances in Neuromorphic Memristor Science and Applications

  • Robert Kozma
  • Robinson E. Pino
  • Giovanni E. Pazienza

Part of the Springer Series in Cognitive and Neural Systems book series (SSCNS, volume 4)

Table of contents

  1. Front Matter
    Pages 1-1
  2. Fundamental Concepts of Memristors and Neuromorphic Systems

    1. Front Matter
      Pages 1-1
    2. Greg Snider
      Pages 3-7
    3. Robert Kozma, Robinson E. Pino, Giovanni E. Pazienza
      Pages 9-14
    4. Massimiliano Di Ventra, Yuriy V. Pershin
      Pages 15-36
    5. Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé et al.
      Pages 37-61
  3. Computational Models of Memristors

    1. Front Matter
      Pages 75-75
    2. Dhireesha Kudithipudi, Cory E. Merkel
      Pages 89-106
    3. Hai Helen Li, Miao Hu, Robinson E. Pino
      Pages 107-131
    4. Max Versace, Robert T. Kozma, Donald C. Wunsch
      Pages 133-153
  4. Hardware Embodiments with Memristive Properties and Applications

    1. Front Matter
      Pages 179-179
    2. Sung Mo Steve Kang, Sangho Shin
      Pages 181-209
    3. Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino
      Pages 211-244
    4. Fernando Corinto, Alon Ascoli, Marco Gilli
      Pages 245-267
    5. Robinson E. Pino, Michael Moore
      Pages 269-290
    6. Robert A. Nawrocki, Richard M. Voyles, Sean E. Shaheen
      Pages 291-314
  5. Back Matter
    Pages 306-306

About this book

Introduction

Posited by Professor Leon Chua at UC Berkeley more than 40 years ago, memristors, a nonlinear element in electrical circuitry, are set to revolutionize computing technology. Finally discovered by scientists at Hewlett-Packard in 2008, memristors  generate huge interest because they can facilitate nanoscale, real-time computer learning, as well as due to their potential of serving as instant memories. . This edited volume bottles some of the excitement about memristors, providing a state-of-the-art overview of neuromorphic memristor theory, as well as its technological and practical aspects.

Based on work presented to specialist memristor seminars organized by the editors, the volume takes readers from a general introduction the fundamental concepts involved, to specialized analysis of computational modeling, hardware, and applications. The latter include the ground-breaking potential of memristors in facilitating hybrid wetware-hardware technologies for in-vitro experiments. The book evinces, and devotes space to the discussion of, the socially transformative potential of memristors, which could be as pervasive as was the invention of the silicon chip: machines that learn in the style of brains, are a computational Holy Grail.

With contributions from key players in a fast-moving field, this edited volume is the first to cover memristors in the depth needed to trigger the further advances that surely lie around the corner.

Keywords

Cellular Network Memristor Nanotechnology Neural Network Neuromorphic Architecture

Editors and affiliations

  • Robert Kozma
    • 1
  • Robinson E. Pino
    • 2
  • Giovanni E. Pazienza
    • 3
  1. 1.Dept. Mathematical SciencesUniversity of MemphisMemphisUSA
  2. 2., RITC, Information DirectorateAir Force Research LaboratoryRomeUSA
  3. 3., Mathematical SciencesThe University of MemphisMemphisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-007-4491-2
  • Copyright Information Springer Science+Business Media Dordrecht 2012
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-94-007-4490-5
  • Online ISBN 978-94-007-4491-2
  • About this book