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The Springer International Series in Engineering and Computer Science

Silicon Implementation of Pulse Coded Neural Networks

Editors: Zaghloul, Mona, Meador, Jack L., Newcomb, Robert (Eds.)

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About this book

When confronted with the hows and whys of nature's computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research results presented in this book not only address more conventional abstract notions of neural-like processing, but also the more specific details ofneural-like processors. It has been established for some time that natural neural systems perform a great deal of information processing via electrochemical pulses. Accordingly, pulse coded neural network concepts are receiving increased attention in artificial neural network research. This increased interest is compounded by continuing advances in the field of VLSI circuit design. This is the first time in history in which it is practical to construct networks of neuron-like circuits of reasonable complexity that can be applied to real problems. We believe that the pioneering work in artificial neural systems presented in this book will lead to further advances that will not only be useful in some practical sense, but may also provide some additional insight into the operation of their natural counterparts.

Table of contents (12 chapters)

  • Some Historical Perspectives on Early Pulse Coded Neural Network Circuits

    Newcomb, Robert W.

    Pages 1-8

  • Pulse Techniques in Neural VLSI: A Review

    Murray, Alan F.

    Pages 9-37

  • Silicon Dendritic Trees

    Elias, John G.

    Pages 39-63

  • Silicon Neurons for Phase and Frequency Detection and Pattern Generation

    DeYong, Mark (et al.)

    Pages 65-77

  • Pulse Coded Winner-Take-All Networks

    Meador, Jack L. (et al.)

    Pages 79-99

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4615-2680-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-0-7923-9449-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4613-6152-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Silicon Implementation of Pulse Coded Neural Networks
Editors
  • Mona Zaghloul
  • Jack L. Meador
  • Robert Newcomb
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
266
Copyright
1994
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4615-2680-3
DOI
10.1007/978-1-4615-2680-3
Hardcover ISBN
978-0-7923-9449-5
Softcover ISBN
978-1-4613-6152-7
Series ISSN
0893-3405
Edition Number
1
Number of Pages
IX, 292
Topics