Neural Computation

Volume 7 : Issue 2

Table of Contents

• Regularization Theory and Neural Networks Architectures 
  Federico Girosi, Michael Jones and Tomaso Poggio
  Page 219
• A Counterexample to Temporal Differences Learning 
  Dimitri P. Bertsekas
  Page 270
• New Perceptron Model Using Random Bitstreams 
  Eel-wan Lee and Soo-Ik Chae
  Page 280
• On the Ordering Conditions for Self-Organizing Maps 
  Marco Budinich and John G. Taylor
  Page 284
• A Simple Competitive Account of Some Response Properties of Visual Neurons in Area MSTd 
  Ruye Wang
  Page 290
• Synchrony in Excitatory Neural Networks 
  D. Hansel, G. Mato and C. Meunier
  Page 307
• Decorrelated Hebbian Learning for Clustering and Function Approximation 
  G. Deco and D. Obradovic
  Page 338
• Identification Using Feedforward Networks 
  Asriel U. Levin and Kumpati S. Narendra
  Page 349
• An HMM/MLP Architecture for Sequence Recognition 
  Sung-Bae Cho and Jin H. Kim
  Page 358
• Learning Linear Threshold Approximations Using Perceptrons 
  Tom Bylander
  Page 370
• An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane 
  Guillaume Deffuant
  Page 380
• The Upward Bias in Measures of Information Derived from Limited Data Samples 
  Alessandro Treves and Stefano Panzeri
  Page 399
• Representation of Similarity in Three-Dimensional Object Discrimination 
  Shimon Edelman
  Page 408