Neural Computation

Volume 12 : Issue 4

Table of Contents

• Minimizing Binding Errors Using Learned Conjunctive Features 
  Bartlett W. Mel, Bartlett W. Mel, Bartlett W. Mel, Jsef Fiser, Jsef Fiser and Jsef Fiser
  Page 731
• The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures 
  Antonio Turiel Ne, Antonio Turiel Ne, Antonio Turiel Ne, Ntor Parga, Ntor Parga and Ntor Parga
  Page 763
• Exponential or Polynomial Learning Curves? Case-Based Studies 
  Hanzhong Gu, Hanzhong Gu, Hanzhong Gu, Haruhisa Takahashi, Haruhisa Takahashi and Haruhisa Takahashi
  Page 795
• Training Feedforward Neural Networks with Gain Constraints 
  Eric Hartman, Eric Hartman and Eric Hartman
  Page 811
• Variational Learning for Switching State-Space Models 
  Zoubin Ghahramani, Zoubin Ghahramani, Zoubin Ghahramani, Geoffrey E. Hinton, Geoffrey E. Hinton and Geoffrey E. Hinton
  Page 831
• Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions 
  Zhang Chengxiang, Zhang Chengxiang, Zhang Chengxiang, Chandan Dasgupta, Chandan Dasgupta, Chandan Dasgupta, Manoranjan P. Singh, Manoranjan P. Singh and Manoranjan P. Singh
  Page 865
• On "Natural" Learning and Pruning in Multilayered Perceptrons 
  Tom Heskes, Tom Heskes and Tom Heskes
  Page 881
• Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations 
  Michele Giugliano, Michele Giugliano and Michele Giugliano
  Page 903
• Hierarchical Bayesian Models for Regularization in Sequential Learning 
  J. F. G. De Freitas, J. F. G. De Freitas, J. F. G. De Freitas, M. Niranjan, M. Niranjan, M. Niranjan, A. H. Gee, A. H. Gee and A. H. Gee
  Page 933
• Sequential Monte Carlo Methods to Train Neural Network Models 
  J. F. G. De Freitas, J. F. G. De Freitas, J. F. G. De Freitas, M. A. Niranjan, M. A. Niranjan, M. A. Niranjan, A. H. Gee, A. H. Gee, A. H. Gee, A. Doucet, A. Doucet and A. Doucet
  Page 955