Neural Computation

Volume 5 : Issue 2

Table of Contents

• Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms 
  O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus and S. Marcos
  Page 165
• Fast Calculation of Synaptic Conductances 
  Rajagopal Srinivasan and Hillel J. Chiel
  Page 200
• The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning 
  Peter Dayan and Terrence J. Sejnowski
  Page 205
• Optimal Network Construction by Minimum Description Length 
  Gary D. Kendall and Trevor J. Hall
  Page 210
• A Neural Network Model of Inhibitory Information Processing in Aplysia 
  Diana E. J. Blazis, Thomas M. Fischer and Thomas J. Carew
  Page 213
• Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus 
  C. Linster, C. Masson, M. Kerszberg, L. Personnaz and G. Dreyfus
  Page 228
• Learning Competition and Cooperation 
  Sungzoon Cho and James A. Reggia
  Page 242
• Constraints on Synchronizing Oscillator Networks 
  David E. Cairns, Roland J. Baddeley and Leslie S. Smith
  Page 260
• Learning Mixture Models of Spatial Coherence 
  Suzanna Becker and Geoffrey E. Hinton
  Page 267
• Hints and the VC Dimension 
  Yaser S. Abu-Mostafa
  Page 278
• Redundancy Reduction as a Strategy for Unsupervised Learning 
  A. Norman Redlich
  Page 289
• Approximation and Radial-Basis-Function Networks 
  Jooyoung Park and Irwin W. Sandberg
  Page 305
• A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results 
  Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim and Sandeep Govil
  Page 317
• Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem 
  Mattias Ohlsson, Carsten Peterson and Bo Sderberg
  Page 331