Neural Computation

Volume 6 : Issue 3

Table of Contents

• Statistical Physics Algorithms That Converge 
  A. L. Yuille and J. J. Kosowsky
  Page 341
• Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting 
  Randall C. O'Reilly and Mark H. Johnson
  Page 357
• Computing Stereo Disparity and Motion with Known Binocular Cell Properties 
  Ning Qian
  Page 390
• Integration and Differentiation in Dynamic Recurrent Neural Networks 
  Edwin E. Munro, Larry E. Shupe and Eberhard E. Fetz
  Page 405
• A Convergence Result for Learning in Recurrent Neural Networks 
  Chung-Ming Kuan, Kurt Hornik and Halbert White
  Page 420
• Topology Learning Solved by Extended Objects: A Neural Network Model 
  Csaba Szepesvri, Lszl Balzs and Andrs Lrincz
  Page 441
• Dynamics of Discrete Time, Continuous State Hopfield Networks 
  Pascal Koiran
  Page 459
• Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks 
  K. P. Unnikrishnan and K. P. Venugopal
  Page 469
• Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning 
  J.-P. Nadal and N. Parga
  Page 491
• Finding the Embedding Dimension and Variable Dependencies in Time Series 
  Hong Pi and Carsten Peterson
  Page 509
• Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example 
  Dimitry Gorinevsky and Thomas H. Connolly
  Page 521
• Functionally Equivalent Feedforward Neural Networks 
  Vra Krkov and Paul C. Kainen
  Page 543