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Forming sparse representations by local anti-Hebbian learning
P. Földiák
Biological Cybernetics, 1990, Volume 64, Number 2, Pages 165-170
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Neural networks in mechatronics
Yu. F. Golubev
Journal of Mathematical Sciences, 2007, Volume 147, Number 2, Pages 6607-6622
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Self-organizing semantic maps
H. Ritter and T. Kohonen
Biological Cybernetics, 1989, Volume 61, Number 4, Pages 241-254
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An introduction to neurocomputing and its possible role in AI
Georg Dorffner
Lecture Notes in Computer Science, 1992, Volume 617, Advanced Topics in Artificial Intelligence, Pages 440-464
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John Symons
Minds and Machines, 2001, Volume 11, Number 4, Pages 521-541
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A Relaxation Algorithm Influenced by Self-Organizing Maps
Michiharu Maeda
Lecture Notes in Computer Science, 2003, Volume 2714, Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003, Page 173
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Implementation of a vector quantization codebook design technique based on a competitive learning artificial neural network
Stanley C. Ahalt, Prakoon Chen, Cheng-Taou Chou and Tzyy-Ping Jung
The Journal of Supercomputing, 1991, Volume 5, Number 4, Pages 307-330
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H. Ritter and K. Schulten
Biological Cybernetics, 1988, Volume 60, Number 1, Pages 59-71
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Synthesis of nonlinear control surfaces by a layered associative search network
Andrew G. Barto, Charles W. Anderson and Richard S. Sutton
Biological Cybernetics, 1982, Volume 43, Number 3, Pages 175-185
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Philosophical Foundations of AI
David Vernon and Dermot Furlong
Lecture Notes in Computer Science, 2007, Volume 4850, 50 Years of Artificial Intelligence, Pages 53-62