Neural Computation

Volume 16 : Issue 1

Table of Contents

• Bayesian Computation in Recurrent Neural Circuits 
  Rajesh P. N. Rao
  Page 1
• Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers 
  Burak Gl and Stanley J. Bolanowski
  Page 39
• A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks 
  A. Vahed and C.W. Omlin
  Page 59
• Orthogonality of Decision Boundaries in Complex-Valued Neural Networks 
  Tohru Nitta
  Page 73
• On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models 
  Taichi Hayasaka, Masashi Kitahara and Shiro Usui
  Page 99
• Asymptotic Properties of the Fisher Kernel 
  Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe and Klaus-Robert Mller
  Page 115
• Adaptive Hybrid Learning for Neural Networks 
  Rob Smithies, Said Salhi and Nat Queen
  Page 139
• Divergence Function, Duality, and Convex Analysis 
  Jun Zhang
  Page 159
• Linear Response Algorithms for Approximate Inference in Graphical Models 
  Max Welling and Yee Whye Teh
  Page 197