Neural Computation

Volume 23 : Issue 9

Table of Contents

• Finding the Event Structure of Neuronal Spike Trains 
  J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski and Paul H. Tiesinga
  Page 2169
• The Dependence of Spike Field Coherence on Expected Intensity 
  Kyle Q. Lepage, Mark A. Kramer and Uri T. Eden
  Page 2209
• Active Data Collection for Efficient Estimation and Comparison of Nonlinear Neural Models 
  Christopher DiMattina and Kechen Zhang
  Page 2242
• Invariant Object Recognition and Pose Estimation with Slow Feature Analysis 
  Mathias Franzius, Niko Wilbert and Laurenz Wiskott
  Page 2289
• A Differential Model of the Complex Cell 
  Miles Hansard and Radu Horaud
  Page 2324
• Principles and Typical Computational Limitations of Sparse Speaker Separation Based on Deterministic Speech Features 
  Albert Kern and Ruedi Stoop
  Page 2358
• Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals 
  Zhengdong Lu, Todd K. Leen and Jeffrey Kaye
  Page 2390
• Algorithms for Nonnegative Matrix Factorization with the ß-Divergence 
  Cédric Févotte and Jérôme Idier
  Page 2421