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Artificial Neural Networks - Learning Algorithms, Performance Evaluation, and Applications (Paperback, Softcover reprint of hardcover 1st ed. 1993)
Loot Price: R4,537
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Artificial Neural Networks - Learning Algorithms, Performance Evaluation, and Applications (Paperback, Softcover reprint of hardcover 1st ed. 1993)
Series: The Springer International Series in Engineering and Computer Science, 209
Expected to ship within 10 - 15 working days
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1.1 Overview We are living in a decade recently declared as the
"Decade of the Brain." Neuroscientists may soon manage to work out
a functional map of the brain, thanks to technologies that open
windows on the mind. With the average human brain consisting of 15
billion neurons, roughly equal to the number of stars in our milky
way, each receiving signals through as many as 10,000 synapses, it
is quite a view. "The brain is the last and greatest biological
frontier," says James Weston codiscoverer of DNA, considered to be
the most complex piece of biological machinery on earth. After many
years of research by neuroanatomists and neurophys iologists, the
overall organization of the brain is well understood, but many of
its detailed neural mechanisms remain to be decoded. In order to
understand the functioning of the brain, neurobiologists have taken
a bottom-up approach of studying the stimulus-response
characteristics of single neurons and networks of neurons, while
psy chologists have taken a top-down approach of studying brain
func tions from the cognitive and behavioral level. While these two
ap proaches are gradually converging, it is generally accepted that
it may take another fifty years before we achieve a solid
microscopic, intermediate, and macroscopic understanding of brain."
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