Neural Computation

Volume 7 : Issue 5

Table of Contents

• Methods For Combining Experts' Probability Assessments 
  Robert A. Jacobs
  Page 867
• The Helmholtz Machine 
  Peter Dayan, Geoffrey E. Hinton, Radford M. Neal and Richard S. Zemel
  Page 889
• Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts 
  Corinna Fohlmeister, Wulfram Gerstner, Raphael Ritz and J. Leo van Hemmen
  Page 905
• Time-Domain Solutions of Oja's Equations 
  J. L. Wyatt, Jr. and I. M. Elfadel
  Page 915
• Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference 
  Mikel L. Forcada and Rafael C. Carrasco
  Page 923
• An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks 
  R. Alquzar and A. Sanfeliu
  Page 931
• Local and Global Optimization Algorithms for Generalized Learning Automata 
  V. V. Phansalkar and M. A. L. Thathachar
  Page 950
• From Data Distributions to Regularization in Invariant Learning 
  Todd K. Leen
  Page 974
• Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm 
  Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski and Pentti Huuhtanen
  Page 982
• Learning and Generalization in Radial Basis Function Networks 
  J. A. S. Freeman and D. Saad
  Page 1000
• Precision and Approximate Flatness in Artificial Neural Networks 
  Maxwell B. Stinchcombe
  Page 1021
• Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes 
  Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson
  Page 1040
• Agnostic PAC Learning of Functions on Analog Neural Nets 
  Wolfgang Maass
  Page 1054
• Convex Potentials and their Conjugates in Analog Mean-Field Optimization 
  I. M. Elfadel
  Page 1079
• Patterns of Functional Damage in Neural Network Models of Associative Memory 
  Eytan Ruppin and James A. Reggia
  Page 1105