Neural Computation

Volume 21 : Issue 1

Table of Contents

• Long-Range Out-of-Sample Properties of Autoregressive Neural Networks 
  Patrick Leoni
  Page 1
• Spike-Timing Error Backpropagation in Theta Neuron Networks 
  Sam McKennoch, Thomas Voegtlin and Linda Bushnell
  Page 9
• A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States 
  Sami El Boustani and Alain Destexhe
  Page 46
• A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks 
  Dequan Jin and Jigen Peng
  Page 101
• Density-Weighted Nystrm Method for Computing Large Kernel Eigensystems 
  Kai Zhang and James T. Kwok
  Page 121
• Persistent Neural States: Stationary Localized Activity Patterns in Nonlinear Continuous n-Population, q-Dimensional Neural Networks 
  Olivier Faugeras, Romain Veltz and Franois Grimbert
  Page 147
• Generation of Correlated Spike Trains 
  Romain Brette
  Page 188
• Getting to Know Your Neighbors: Unsupervised Learning of Topography from Real-World, Event-Based Input 
  Martin Boerlin, Tobi Delbruck and Kynan Eng
  Page 216
• Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics 
  Dashan Gao and Nuno Vasconcelos
  Page 239
• Prototype Classification: Insights from Machine Learning 
  Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rtsch and Bernhard Schlkopf
  Page 272