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Chaos as a part of logical structure in neurodynamicsIt is proposed that chaotic attractors incorporated in neural net models can represent classes of patterns in the same way in which a set of static attractors represent unrelated patterns. Therefore, chaotic states of neuron activity are associated with higher level cognitive processes such as generalization and abstraction.
Document ID
19890056128
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.1016/0893-9659(89)90016-5
Authors
Zak, Michail (California Institute of Technology Jet Propulsion Laboratory, Pasadena, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Publication Information
Publication: Applied Mathematics Letters
Volume: 2
Issue: 2, 19
ISSN: 0893-9659
Subject Category
Cybernetics
Accession Number
89A43499
Distribution Limits
Public
Copyright
Other

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