Neural Computation

Volume 3 : Issue 4

Table of Contents

• Neural Network Classifiers Estimate Bayesian a posteriori Probabilities 
  Michael D. Richard and Richard P. Lippmann
  Page 461
• Lowering Variance of Decisions by Using Artificial Neural Network Portfolios 
  Ganesh Mani
  Page 484
• Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons 
  L. F. Abbott, E. Marder and S. L. Hooper
  Page 487
• A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex 
  Matthew A. Wilson and James M. Bower
  Page 498
• Segmentation, Binding, and Illusory Conjunctions 
  D. Horn, D. Sagi and M. Usher
  Page 510
• Contrastive Learning and Neural Oscillations 
  Pierre Baldi and Fernando Pineda
  Page 526
• Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks 
  Marwan Jabri and Barry Flower
  Page 546
• Predicting the Future: Advantages of Semilocal Units 
  Eric Hartman and James D. Keeler
  Page 566
• Improving the Generalization Properties of Radial Basis Function Neural Networks 
  Chris Bishop
  Page 579
• Temporal Evolution of Generalization during Learning in Linear Networks 
  Pierre Baldi and Yves Chauvin
  Page 589
• Learning the Unlearnable 
  Dan Nabutovsky and Eytan Domany
  Page 604
• Kolmogorov's Theorem Is Relevant 
  Vra Krkov
  Page 617
• An Exponential Response Neural Net 
  Shlomo Geva and Joaquin Sitte
  Page 623
• Errata 
  
  Page 633
• Index to Volume 3 
  
  Page 634