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Cellular Nanoscale Sensory Wave Computing

  • Chagaan Baatar
  • Wolfgang Porod
  • Tamás Roska

Table of contents

  1. Front Matter
    Pages i-viii
  2. Larry Cooper, Joel Davis
    Pages 1-4
  3. Tamás Roska, Laszlo Belady, Maria Ercsey-Ravasz
    Pages 5-25
  4. Jeffrey Bean, Badri Tiwari, Gergo Szakmány, Gary H. Bernstein, P. Fay, Wolfgang Porod
    Pages 27-86
  5. Leon Chua
    Pages 87-115
  6. Árpád I. Csurgay, Wolfgang Porod
    Pages 117-127
  7. Angel Rodríguez-Vázquez, Rafael Domínguez-Castro, Francisco Jiménez-Garrido, Sergio Morillas, Alberto García, Cayetana Utrera et al.
    Pages 129-146
  8. Akos Zarandy, Peter Foldesy, Ricardo Carmona, Csaba Rekeczky, Jeffrey A. Bean, Wolfgang Porod
    Pages 147-162
  9. Back Matter
    Pages 247-249

About this book

Introduction

In this book the emerging and converging architecture of morphic cellular wave computers based on the concept of Cellular Neural/Nonlinear Network (CNN) is introduced in a practical way. The authors include descriptions of hardware architectures, software algorithms, as well as a possible new CNN cell based on memristor. The first single chip cellular wave computer- a vision system on a chip (VSoC) is also discussed.

Cellular Nanoscale Sensory Wave Computing is a result of a Multidisciplinary University Research Initiative (MURI) project that has been funded by the Office of Naval Research and completed recently. The results manifest a new way of thinking about sensory computing, as well as it is one of the first successful attempts to bridge the gap between nanoscale (smaller than 100 nm) devices and CMOS integrated circuits with stored programmable algorithms and software on the system level.

Keywords

CMOS Cellular Wave Computing Memristor Morphic cellular wave computers Sensor System level programmable algorithms algorithm algorithms circuit electronics integrated circuit microprocessor processor real-time system on chip (SoC)

Editors and affiliations

  • Chagaan Baatar
    • 1
  • Wolfgang Porod
    • 2
  • Tamás Roska
    • 3
  1. 1.Electronics & Networks Research DivisionOffice of Naval Research SensorsArlingtonUSA
  2. 2.University of Notre Dame, Center for Nano Science & TechnologyNotre DameUSA
  3. 3.MTA Budapest Computer & Automation Research InstituteBudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-1011-0
  • Copyright Information Springer-Verlag US 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4419-1010-3
  • Online ISBN 978-1-4419-1011-0
  • Buy this book on publisher's site