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Analog VLSI Neural Networks

A Special Issue of Analog Integrated Circuits and Signal Processing

  • Book
  • © 1993

Overview

Editors:
  1. Yoshiyasu Takefuji

    1. Case Western Reserve University, Keio University, Japan

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 191)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-iv
    Download chapter PDF

  2. Guest Editorial

    • Yoshiyasu Takefuji
    Pages 1-2

  3. Analog Computational Models of Concept Formation

    • Yoh-Han Pao, Wassim Hafez
    Pages 3-10

  4. An Analog BiCMOS Hopfield Neuron

    • Paul W. Hollis, John J. Paulos
    Pages 11-17

  5. Full Analog CMOS Integration of Very Large Time Constants for Synaptic Transfer in Neural Networks

    • P. Kinget, M. Steyaert, J. van der Spiegel
    Pages 19-33

  6. A Hierarchical Clustering Network Based on a Model of Olfactory Processing

    • P. A. Shoemaker, C. G. Hutchens, S. B. Patil
    Pages 35-49

  7. CMOS Analog/Digital Circuit of the Hysteresis McCulloch-Pitts Neuron for Ramsey Numbers

    • Yong Beom Cho, Kazuhiro Tsuchiya, Yoshiyasu Takefuji
    Pages 51-60

  8. Competitive Learning in Asynchronous-Pulse-Density Integrated Circuits

    • David A. Watola, Jack L. Meador
    Pages 61-82

  9. A Programmable Analog CMOS Synapse for Neural Networks

    • Seokjin Kim, Yong-Chul Shin, Naidu C. R. Bogineni, Ramalingam Sridhar
    Pages 83-90

  10. Two-Stage Neural Network Architecture for Feedback Control of Dynamic Systems

    • Stephen M. Phillips, Christoph Müller-Dott
    Pages 91-103

  11. Temporal Signal Processing with High-Speed Hybrid Analog-Digital Neural Networks

    • Mark Deyong, Thomas C. Eskridge, Chris Fields
    Pages 105-126

  12. A Super Parallel Sorter Using a Binary Neural Network with AND-OR Synaptic Connections

    • Manabu Yamada, Tohru Nakagawa, Hajime Kitagawa
    Pages 127-131
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Keywords

About this book

This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks.
The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.

Editors and Affiliations

  • Case Western Reserve University, Keio University, Japan

    Yoshiyasu Takefuji

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