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ORCIDNeural Networks, Volume 37
Volume 37, January 2013
- Stephen Grossberg:
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world. 1-47 - Shun-ichi Amari:
Dreaming of mathematical neuroscience for half a century. 48-51 - Teuvo Kohonen:
Essentials of the self-organizing map. 52-65 - Victor Barrès
, Arthur Simons III, Michael A. Arbib:
Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments. 66-92 - Gail A. Carpenter, Suhas E. Chelian:
DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis. 93-102 - Kunihiko Fukushima:
Artificial vision by multi-layered neural networks: Neocognitron and its advances. 103-119 - J. A. Scott Kelso, Guillaume Dumas, Emmanuelle Tognoli:
Outline of a general theory of behavior and brain coordination. 120-131 - Osonde Osoba, Bart Kosko:
Noise-enhanced clustering and competitive learning algorithms. 132-140 - Timothy Barnes, Ennio Mingolla:
A neural model of visual figure-ground segregation from kinetic occlusion. 141-164 - Günther Palm:
Neural associative memories and sparse coding. 165-171 - Robert Shapley, Dajun Xing:
Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression. 172-181 - Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park:
The No-Prop algorithm: A new learning algorithm for multilayer neural networks. 182-188
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