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On the Construction of Artificial Brains (Paperback, Softcover reprint of the original 1st ed. 2010)
Loot Price: R4,288
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On the Construction of Artificial Brains (Paperback, Softcover reprint of the original 1st ed. 2010)
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This book presents a first generation of artificial brains, using
vision as sample application. An object recognition system is
built, using neurons and synapses as exclusive building elements.
The system contains a feature pyramid with 8 orientations and 5
resolution levels for 1000 objects and networks for binding of
features into objects. This vision system can recognize objects
robustly in the presence of changes in illumination, deformation,
distance and pose (as long as object components remain visible).
The neuro-synaptic network owes its functional power to the
introduction of rapidly modifiable dynamic synapses. These give a
network greater pattern recognition capabilities than are
achievable with fixed connections. The spatio-temporal correlation
structure of patterns is captured by a single synaptic differential
equation in a universal way. The correlation can appear as
synchronous neural firing, which signals the presence of a feature
in a robust way, or binds features into objects. Although in this
book we can present only a first generation artificial brain and
believe many more generations will have to follow to reach the full
power of the human brain, we nevertheless see a new era of
computation on the horizon. There were times when computers, with
their precision, reliability and blinding speed, were considered to
be as superior to the wet matter of our brain as a jet plane is to
a sparrow. These times seem to be over, given the fact that digital
systems inspired by formal logic and controlled algorithmically -
today's computers - are hitting a complexity crisis. A paradigm
change is in the air: from the externally organised to the
self-organised computer, of which the results described in this
book may give an inkling.
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