Neural Computation

Volume 17 : Issue 1

Table of Contents

• How to Pretend That Correlated Variables Are Independent by Using Difference Observations 
  Christopher K.I. Williams
  Page 1
• Convergence of the IRWLS Procedure to the Support Vector Machine Solution 
  Fernando Prez-Cruz, Carlos Bousoo-Calzn and Antonio Arts-Rodrguez
  Page 7
• Efficient Coding of Time-Relative Structure Using Spikes 
  Evan Smith and Michael S. Lewicki
  Page 19
• Bilinear Sparse Coding for Invariant Vision 
  David B. Grimes and Rajesh P.N. Rao
  Page 47
• A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions 
  Rishikesh Narayanan, Anusha Narayan and Sumantra Chattarji
  Page 75
• Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons 
  H.J. Tang, K.C. Tan and Weinian Zhang
  Page 97
• Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model 
  Shin-ichi Maeda, Wen-Jie Song and Shin Ishii
  Page 115
• Online Ranking by Projecting 
  Koby Crammer and Yoram Singer
  Page 145
• On Learning Vector-Valued Functions 
  Charles A. Micchelli and Massimiliano Pontil
  Page 177
• RSPOP: Rough SetBased Pseudo Outer-Product Fuzzy Rule Identification Algorithm 
  Kai Keng Ang and Chai Quek
  Page 205