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Neural Systems: Analysis and Modeling (Paperback, Softcover reprint of the original 1st ed. 1993)
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Neural Systems: Analysis and Modeling (Paperback, Softcover reprint of the original 1st ed. 1993)
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In recent years there has been tremendous activity in computational
neuroscience resulting from two parallel developments. On the one
hand, our knowledge of real nervous systems has increased
dramatically over the years; on the other, there is now enough
computing power available to perform realistic simulations of
actual neural circuits. This is leading to a revolution in
quantitative neuroscience, which is attracting a growing number of
scientists from non-biological disciplines. These scientists bring
with them expertise in signal processing, information theory, and
dynamical systems theory that has helped transform our ways of
approaching neural systems. New developments in experimental
techniques have enabled biologists to gather the data necessary to
test these new theories. While we do not yet understand how the
brain sees, hears or smells, we do have testable models of specific
components of visual, auditory, and olfactory processing. Some of
these models have been applied to help construct artificial vision
and hearing systems. Similarly, our understanding of motor control
has grown to the point where it has become a useful guide in the
development of artificial robots. Many neuroscientists believe that
we have only scratched the surface, and that a more complete
understanding of biological information processing is likely to
lead to technologies whose impact will propel another industrial
revolution. Neural Systems: Analysis and Modeling contains the
collected papers of the 1991 Conference on Analysis and Modeling of
Neural Systems (AMNS), and the papers presented at the satellite
symposium on compartmental modeling, held July 23-26, 1992, in San
Francisco, California. The papers included, present an update of
the most recent developments in quantitative analysis and modeling
techniques for the study of neural systems.
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