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Computational Models for Neuroscience - Human Cortical Information Processing (Paperback, Softcover reprint of the original 1st ed. 2003)
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Computational Models for Neuroscience - Human Cortical Information Processing (Paperback, Softcover reprint of the original 1st ed. 2003)
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Formal study of neuroscience (broadly defined) has been underway
for millennia. For example, writing 2,350 years ago, Aristotle!
asserted that association - of which he defined three specific
varieties - lies at the center of human cognition. Over the past
two centuries, the simultaneous rapid advancements of technology
and (conse quently) per capita economic output have fueled an
exponentially increasing effort in neuroscience research. Today,
thanks to the accumulated efforts of hundreds of thousands of
scientists, we possess an enormous body of knowledge about the mind
and brain. Unfortunately, much of this knowledge is in the form of
isolated factoids. In terms of "big picture" understanding,
surprisingly little progress has been made since Aristotle. In some
arenas we have probably suffered negative progress because certain
neuroscience and neurophilosophy precepts have clouded our
self-knowledge; causing us to become largely oblivious to some of
the most profound and fundamental aspects of our nature (such as
the highly distinctive propensity of all higher mammals to
automatically seg ment all aspects of the world into distinct
holistic objects and the massive reorganiza tion of large portions
of our brains that ensues when we encounter completely new
environments and life situations). At this epoch, neuroscience is
like a huge collection of small, jagged, jigsaw puz zle pieces
piled in a mound in a large warehouse (with neuroscientists going
in and tossing more pieces onto the mound every month).
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