Cellular Neural Networks and Analog VLSI

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

Table of contents

  1. Front Matter
    Pages i-2
    PDF
  2. A 16 x 16 Cellular Neural Network Universal Chip: The First Complete Single-Chip Dynamic Computer Array with Distributed Memory and with Gray-Scale Input-Output
    J. M. Cruz, L. O. Chua
    Pages 3-13
  3. A 6 x 6 Cells Interconnection-Oriented Programmable Chip for CNN
    Mario Salerno, Fausto Sargeni, Vincenzo Bonaiuto
    Pages 15-26
  4. Analog VLSI Design Constraints of Programmable Cellular Neural Networks
    Peter R. Kinget, Michiel Steyaert
    Pages 27-38
  5. Focal-Plane and Multiple Chip VLSI Approaches to CNNs
    Mancia Anguita, Francisco J. Pelayo, Eduardo Ros, David Palomar, Alberto Prieto
    Pages 39-51
  6. Architecture and Design of 1-D Enhanced Cellular Neural Network Processors for Signal Detection
    Michelle Yibing Wang, Bing J. Sheu, Theodore W. Berger, Wayne C. Young, Austin Kwang-Bo Cho
    Pages 53-66
  7. Analog VLSI Circuits for Competitive Learning Networks
    Howard C. Card, Dean K. McNeill, Christian R. Schneider
    Pages 67-90
  8. Design of Neural Networks Based on Wave-Parallel Computing Technique
    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