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Neuroscience: From Neural Networks to Artificial Intelligence - Proceedings of a U.S.-Mexico Seminar held in the city of Xalapa in the state of Veracruz on December 9-11, 1991 (Paperback)
Loot Price: R2,970
Discovery Miles 29 700
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Neuroscience: From Neural Networks to Artificial Intelligence - Proceedings of a U.S.-Mexico Seminar held in the city of Xalapa in the state of Veracruz on December 9-11, 1991 (Paperback)
Series: Research Notes in Neural Computing, 4
Expected to ship within 10 - 15 working days
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The Central Nervous System can be considered as an aggregate of
neurons specialized in both the transmission and transformation of
information. Information can be used for many purposes, but
probably the most important one is to generate a representation of
the "external" world that allows the organism to react properly to
changes in its external environment. These functions range from
such basic ones as detection of changes that may lead to tissue
damage and eventual destruction of the organism and the
implementation of avoidance reactions, to more elaborate
representations of the external world implying recognition of
shapes, sounds and textures as the basis of planned action or even
reflection. Some of these functions confer a clear survival
advantage to the organism (prey or mate recognition, escape
reactions, etc. ). Others can be considered as an essential part of
cognitive processes that contribute, to varying degrees, to the
development of individuality and self-consciousness. How can we
hope to understand the complexity inherent in this range of
functionalities? One of the distinguishing features of the last two
decades has been the availability of computational power that has
impacted many areas of science. In neurophysiology, computation is
used for experiment control, data analysis and for the construction
of models that simulate particular systems. Analysis of the
behavior of neuronal networks has transcended the limits of
neuroscience and is now a discipline in itself, with potential
applications both in the neural sciences and in computing sciences.
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