Neural Computation

Volume 1 : Issue 4

Table of Contents

• Learning in Artificial Neural Networks: A Statistical Perspective 
  Halbert White
  Page 425
• Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant 
  Federico Girosi and Tomaso Poggio
  Page 465
• Sigmoids Distinguish More Efficiently Than Heavisides 
  Eduardo D. Sontag
  Page 470
• How Cortical Interconnectedness Varies with Network Size 
  Charles F. Stevens
  Page 473
• A Canonical Microcircuit for Neocortex 
  Rodney J. Douglas, Kevan A.C. Martin and David Whitteridge
  Page 480
• Synthetic Neural Circuits Using Current-Domain Signal Representations 
  Andreas G. Andreou and Kwabena A. Boahen
  Page 489
• Random Neural Networks with Negative and Positive Signals and Product Form Solution 
  Erol Gelenbe
  Page 502
• Nonlinear Optimization Using Generalized Hopfield Networks 
  Athanasios G. Tsirukis, Gintaras V. Reklaitis and Manoel F. Tenorio
  Page 511
• Discrete Synchronous Neural Algorithm for Minimization 
  Hyuk Lee
  Page 522
• Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other Two-Variable Functions 
  E. K. Blum
  Page 532
• Backpropagation Applied to Handwritten Zip Code Recognition 
  Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel
  Page 541
• A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks 
  David Zipser
  Page 552
• Unification as Constraint Satisfaction in Structured Connectionist Networks 
  Andreas Stolcke
  Page 559
• Index to Volume 1 
  
  Page 568