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Silicon Implementation of Pulse Coded Neural Networks (Paperback, Softcover reprint of the original 1st ed. 1994)
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Silicon Implementation of Pulse Coded Neural Networks (Paperback, Softcover reprint of the original 1st ed. 1994)
Series: The Springer International Series in Engineering and Computer Science, 266
Expected to ship within 10 - 15 working days
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When confronted with the how's and why's 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 of artificial 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 state-of-the-art research
results presented in Silicon Implementation of Pulse Coded Neural
Networks not only address more conventional abstract notions of
neural-like processing, but also the more specific details of
neural-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. For the first time in history, it is practical to construct
networks of neuron-like circuits of reasonable complexity that can
be applied to real problems. The pioneering work in artificial
neural systems presented in Silicon Implementation of Pulse Coded
Neural Networks 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. Silicon Implementation of Pulse Coded Neural Networks
seeks to cover many of the relevant contemporary studies coming out
of this newly emerging area. As such, it serves as an excellent
reference, and may be used as a text for advanced courses on the
subject.
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