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Advances in Neuromorphic Memristor Science and Applications

  • Book
  • © 2012

Overview

Editors:
  1. Robert Kozma

    1. Dept. Mathematical Sciences, University of Memphis, Memphis, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Robinson E. Pino

    1. , RITC, Information Directorate, Air Force Research Laboratory, Rome, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Giovanni E. Pazienza

    1. , Mathematical Sciences, The University of Memphis, Memphis, USA

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    You can also search for this editor in PubMed   Google Scholar

  • The first book entirely devoted to memristive devices
  • Comprehensive coverage of memristors from fundamentals to advanced applications
  • Review of present status and future potential of memristors
  • Thorough overview of applications in various disciplines.
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (15 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Prolog: Memristor Minds

      • Greg Snider
      Pages 3-7

    3. Are Memristors the Future of AI?

      • Robert Kozma, Robinson E. Pino, Giovanni E. Pazienza
      Pages 9-14

    4. Biologically-Inspired Electronics with Memory Circuit Elements

      • Massimiliano Di Ventra, Yuriy V. Pershin
      Pages 15-36

    5. Persuading Computers to Act More Like Brains

      • Heather Ames, Massimiliano Versace, Anatoli Gorchetchnikov, Benjamin Chandler, Gennady Livitz, Jasmin Léveillé et al.
      Pages 37-61

    6. Memristors for More Than Just Memory: How to Use Learning to Expand Applications

      • Paul J. Werbos
      Pages 63-73

  3. Computational Models of Memristors

    1. Front Matter

      Pages 75-75
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    2. Computational Intelligence and Neuromorphic Computing Architectures

      • Robinson E. Pino
      Pages 77-88

    3. Reconfigurable Memristor Fabrics for Heterogeneous Computing

      • Dhireesha Kudithipudi, Cory E. Merkel
      Pages 89-106

    4. Statistical Memristor Model and Its Applications in Neuromorphic Computing

      • Hai Helen Li, Miao Hu, Robinson E. Pino
      Pages 107-131

    5. Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware

      • Max Versace, Robert T. Kozma, Donald C. Wunsch
      Pages 133-153

    6. Phase Change Memory and Chalcogenide Materials for Neuromorphic Applications: Emphasis on Synaptic Plasticity

      • Manan Suri, Barbara DeSalvo
      Pages 155-178

  4. Hardware Embodiments with Memristive Properties and Applications

    1. Front Matter

      Pages 179-179
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    2. Energy-Efficient Memristive Analog and Digital Electronics

      • Sung Mo Steve Kang, Sangho Shin
      Pages 181-209

    3. Memristor SPICE Modeling

      • Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino
      Pages 211-244

    4. Memristor Models for Pattern Recognition Systems

      • Fernando Corinto, Alon Ascoli, Marco Gilli
      Pages 245-267

    5. A Columnar V1/V2 Visual Cortex Model and Emulation

      • Robinson E. Pino, Michael Moore
      Pages 269-290

    6. Polymer and Nanoparticle-Composite Bistable Devices: Physics of Operation and Initial Applications

      • Robert A. Nawrocki, Richard M. Voyles, Sean E. Shaheen
      Pages 291-314

  5. Back Matter

    Pages 306-306
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Keywords

About this book

Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given bythis revolutionary concept.

Editors and Affiliations

  • Dept. Mathematical Sciences, University of Memphis, Memphis, USA

    Robert Kozma

  • , RITC, Information Directorate, Air Force Research Laboratory, Rome, USA

    Robinson E. Pino

  • , Mathematical Sciences, The University of Memphis, Memphis, USA

    Giovanni E. Pazienza

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