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Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
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Binding: Paperback
Dewey Decimal Number: 004
EAN: 9780262632218
ISBN: 0262632217
Label: The MIT Press
Manufacturer: The MIT Press
Number Of Items: 1
Number Of Pages: 407
Publication Date: March 01, 2001
Publisher: The MIT Press
Studio: The MIT Press
Alternate Versions: Click to Display
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Editorial Review:
Amazon.com Review:
Traditional neural network computing uses continuous propagation of its signals, whereas biological networks use signal timing and frequency in their transmission and computation. Pulsed Neural Networks arose out of a two-day workshop at the Isaac Newton Institute for Mathematical Studies at Cambridge, and provides a broad overview of the comparatively recent developments in building and working with these machines.
A compelling foreword by Terrence J. Sejnowski explains the basics. Several tutorial chapters covering biological and electronic pulsed computing follow. The rest of the book is divided into two parts: "Implementations" and "Design and Analysis of Pulsed Neural Systems."
Useful for neuroscientists, engineers, and, of course, computer scientists, Pulsed Neural Networks requires a certain familiarity with traditional neural networks and demands a willingness to probe neurobiological theory. However, this text rewards readers for their hard work with a much more powerful and robust approach to the problems of neural computing. --Rob Lightner
Product Description:
In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development, neurobiological modeling, and hardware implementation.
This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. The first half of the book consists of longer tutorial articles spanning neurobiology, theory, algorithms, and hardware. The second half contains a larger number of shorter research chapters that present more advanced concepts. The contributors use consistent notation and terminology throughout the book.
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Pulsed Neural Networks (90's), Artificial Intelligence (80's), Cybernetics (60's and 70's) Telephone Switch Board (10's and 20's) Hydrodynamics (1700 and 1800) it is amazing the names put on cognitive science through the years. This book is a symposium (13 small books) on developing hardware devices capable of replacing or enhancing neurological functions. Using modeling techniques to duplicate biophysical neural pathways can take two forms. The first are math models, which obviously show the relationship between the neurons (virtual reality). The second type is models that build-spiking neurons in real time to which this book is directed. In the first part of the book, a summary of current thought, written by the main compilers of the book (Maas and Bishop) is worth the price alone. The book addresses the question of biological electrical (vs. chemical or genetic) coding, in which the method of information is actually transmitted and received. The compilers have emphasized the chronological ... Read More
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This book presents a general overview to the growing field of spiking neural networks and their VLSI implementation written by many of the major figures in this field. It begins with several clear explications of the spiking response model which has been recently popularized by Gerstner (who has several good entries in this volume) and why looking at such a model might be a good idea (it really is completely fascinating). As with all neural network theory, understanding the model will require a fairly solid mathematical background. The middle portion of the book is dedicated to VLSI implementation (which I am not involved with so won't comment) and the last chapters present a wide variety of articles from the highly mathematical to advice for digital simulation of such networks. Chapter 10 is by far the most mathematical chapter and presents the analytic results that have been derived for a homogeneous fully connected network. Although this is far from a complete reference it provides a clear ... Read More
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