Neural Computation

Volume 8 : Issue 6

Table of Contents

• The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction 
  Mike Casey
  Page 1135
• Using Bottlenecks in Feedforward Networks as a Dimension Reduction Technique: An Application to Optimization Tasks 
  Janet Wiles, Paul Bakker, Adam Lynton, Michael Norris, Sean Parkinson, Mark Staples and Alan Whiteside
  Page 1179
• Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey 
  Wyeth Bair and Christof Koch
  Page 1185
• Neural Network for Dynamic Binding with Graph Representation: Form, Linking, and Depth-from-Occlusion 
  James R. Williamson
  Page 1203
• Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease 
  David Horn, Nir Levy and Eytan Ruppin
  Page 1227
• Spike Train Processing by a Silicon Neuromorph: The Role of Sublinear Summation in Dendrites 
  David P. M. Northmore and John G. Elias
  Page 1245
• A Large Committee Machine Learning Noisy Rules 
  R. Urbanczik
  Page 1267
• Vapnik-Chervonenkis Generalization Bounds for Real Valued Neural Networks 
  Arne Hole
  Page 1277
• The Error Surface of the Simplest XOR Network Has Only Global Minima 
  Ida G. Sprinkhuizen-Kuyper and Egbert J. W. Boers
  Page 1301
• Statistical Approach to Shape from Shading: Reconstruction of Three-Dimensional Face Surfaces from Single Two-Dimensional Images 
  Joseph J. Atick, Paul A. Griffin and A. Norman Redlich
  Page 1321