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Publication search results
found 11 matches
- 2012
- Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012) - Yongqiang Cao, Stephen Grossberg:
Stereopsis and 3D surface perception by spiking neurons in laminar cortical circuits: A method for converting neural rate models into spiking models. Neural Networks 26: 75-98 (2012) - Mike Hawrylycz:
Leo Grady, Jonathan Polimeni, , Discrete Calculus: Applied Analysis on Graphs for Computational Science (2010) Springer 978-1-84996-289-6 $129.00. Neural Networks 26: 174-175 (2012) - Qingshan Liu, Zhishan Guo, Jun Wang:
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. Neural Networks 26: 99-109 (2012) - Ziqian Liu, Henri Schurz, Nirwan Ansari, Qunjing Wang:
Theoretic design of differential minimax controllers for stochastic cellular neural networks. Neural Networks 26: 110-117 (2012) - Marco Maggini, Stefano Melacci, Lorenzo Sarti:
Learning from pairwise constraints by Similarity Neural Networks. Neural Networks 26: 141-158 (2012) - Henning Schroll, Julien Vitay, Fred H. Hamker:
Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops. Neural Networks 26: 59-74 (2012) - Matthew R. Silver, Stephen Grossberg, Daniel Bullock, Mark H. Histed, Earl K. Miller:
A neural model of sequential movement planning and control of eye movements: Item-Order-Rank working memory and saccade selection by the supplementary eye fields. Neural Networks 26: 29-58 (2012) - Michael W. Spratling:
Predictive coding as a model of the V1 saliency map hypothesis. Neural Networks 26: 7-28 (2012) - José Luis Subirats, Leonardo Franco, José M. Jerez:
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26: 130-140 (2012) - Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
Analysis and improvement of policy gradient estimation. Neural Networks 26: 118-129 (2012)
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