Neural Networks, Volume 26

Volume 26, February 2012

• Michael W. Spratling:
  Predictive coding as a model of the V1 saliency map hypothesis. 7-28
  

• 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. 29-58
  
• Henning Schroll, Julien Vitay, Fred Henrik Hamker:
  Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops. 59-74
  
• 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. 75-98
  

• Qingshan Liu, Zhishan Guo, Jun Wang:
  A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. 99-109
  
• Ziqian Liu, Henri Schurz, Nirwan Ansari, Qunjing Wang:
  Theoretic design of differential minimax controllers for stochastic cellular neural networks. 110-117
  
• Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
  Analysis and improvement of policy gradient estimation. 118-129
  

• José Luis Subirats, Leonardo Franco, José M. Jerez:
  C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. 130-140
  
• Marco Maggini, Stefano Melacci, Lorenzo Sarti:
  Learning from pairwise constraints by Similarity Neural Networks. 141-158
  

• Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl:
  Limited Rank Matrix Learning, discriminative dimension reduction and visualization. 159-173
  

• Mike Hawrylycz:
  Leo Grady, Jonathan Polimeni, , Discrete Calculus: Applied Analysis on Graphs for Computational Science (2010) Springer 978-1-84996-289-6 $129.00. 174-175
  

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