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Analog VLSI Implementation of Neural Systems

  • Book
  • © 1989

Overview

Editors:
  1. Carver Mead

    1. California Institute of Technology, USA

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  2. Mohammed Ismail

    1. Ohio State University, USA

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-ix
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  2. A Neural Processor for Maze Solving

    • Christopher R. Carroll
    Pages 1-26

  3. Resistive Fuses: Analog Hardware for Detecting Discontinuities in Early Vision

    • John Harris, Christof Koch, Jin Luo, John Wyatt
    Pages 27-55

  4. CMOS Integration of Herault-Jutten Cells for Separation of Sources

    • Eric A. Vittoz, Xavier Arreguit
    Pages 57-83

  5. Circuit Models of Sensory Transduction in the Cochlea

    • John Lazzaro, Carver Mead
    Pages 85-101

  6. Issues in Analog VLSI and MOS Techniques for Neural Computing

    • Steven Bibyk, Mohammed Ismail
    Pages 103-133

  7. Design and Fabrication of VLSI Components for a General Purpose Analog Neural Computer

    • Paul Mueller, Jan van der Spiegel, David Blackman, Timothy Chiu, Thomas Clare, Christopher Donham et al.
    Pages 135-169

  8. A Chip that Focuses an Image on Itself

    • T. Delbrück
    Pages 171-188

  9. A Foveated Retina-Like Sensor Using CCD Technology

    • J. Van der Spiegel, G. Kreider, C. Claeys, I. Debusschere, G. Sandini, P. Dario et al.
    Pages 189-211

  10. Cooperative Stereo Matching Using Static and Dynamic Image Features

    • M. A. Mahowald, T. Delbrück
    Pages 213-238

  11. Adaptive Retina

    • Carver Mead
    Pages 239-246

  12. Back Matter

    Pages 247-248
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Keywords

About this book

This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.

Editors and Affiliations

  • California Institute of Technology, USA

    Carver Mead

  • Ohio State University, USA

    Mohammed Ismail

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