Neural Computation

Volume 7 : Issue 1

Table of Contents

• On Neural Circuits and Cognition 
  Michael S. Gazzaniga
  Page 1
• The EM Algorithm and Information Geometry in Neural Network Learning 
  Shun-ichi Amari
  Page 13
• Convergence Theorems for Hybrid Learning Rules 
  Michel Benaim
  Page 19
• A Type of Duality between Self-Organizing Maps and Minimal Wiring 
  Graeme Mitchison
  Page 25
• Development of Oriented Ocular Dominance Bands as a Consequence of Areal Geometry 
  H.-U. Bauer
  Page 36
• A Multiple Cause Mixture Model for Unsupervised Learning 
  Eric Saund
  Page 51
• Similarity Metric Learning for a Variable-Kernel Classifier 
  David G. Lowe
  Page 72
• Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks 
  G. Deco, W. Finnoff and H. G. Zimmermann
  Page 86
• Training with Noise is Equivalent to Tikhonov Regularization 
  Chris M. Bishop
  Page 108
• Bayesian Regularization and Pruning Using a Laplace Prior 
  Peter M. Williams
  Page 117
• Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study 
  Ronny Meir
  Page 144
• Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries 
  Yoshiyuki Kabashima and Shigeru Shinomoto
  Page 158
• Arithmetic Perceptrons 
  Sergio A. Cannas
  Page 173
• Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia 
  D. Horn and E. Ruppin
  Page 182
• Real-Time Control of a Tokamak Plasma Using Neural Networks 
  Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd and David L. Trotman
  Page 206