Cellular Neural Networks and Analog VLSI

  • Leon O. Chua
  • Glenn Gulak
  • Edmund Pierzchala
  • Angel Rodríguez-Vázquez

Table of contents

  1. Front Matter
    Pages i-2
  2. Mario Salerno, Fausto Sargeni, Vincenzo Bonaiuto
    Pages 15-26
  3. Peter R. Kinget, Michiel Steyaert
    Pages 27-38
  4. Mancia Anguita, Francisco J. Pelayo, Eduardo Ros, David Palomar, Alberto Prieto
    Pages 39-51
  5. Michelle Yibing Wang, Bing J. Sheu, Theodore W. Berger, Wayne C. Young, Austin Kwang-Bo Cho
    Pages 53-66
  6. Howard C. Card, Dean K. McNeill, Christian R. Schneider
    Pages 67-90
  7. Yasushi Yuminaka, Yoshisato Sasaki, Takafumi Aoki, Tatsuo Higuchi
    Pages 91-103

About this book

Introduction

Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area.
Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Keywords

Signal VLSI analog computer network networks neural networks

Editors and affiliations

  • Leon O. Chua
    • 1
  • Glenn Gulak
    • 2
  • Edmund Pierzchala
    • 3
  • Angel Rodríguez-Vázquez
    • 4
  1. 1.University of CaliforniaBerkeleyUSA
  2. 2.University of TorontoCanada
  3. 3.Analogy, Inc.USA
  4. 4.Universidad de SevillaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-4730-0
  • Copyright Information Springer-Verlag US 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-5030-7
  • Online ISBN 978-1-4757-4730-0
  • About this book