Neural Computation

Volume 8 : Issue 1

Table of Contents

• Lower Bounds for the Computational Power of Networks of Spiking Neurons 
  Wolfgang Maass
  Page 1
• A Short Proof of the Posterior Probability Property of Classifier Neural Networks 
  Ral Rojas
  Page 41
• Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold 
  Fabrizio Gabbiani and Christof Koch
  Page 44
• A Simple Spike Train Decoder Inspired by the Sampling Theorem 
  David A. August and William B Levy
  Page 67
• A Model of Spatial Map Formation in the Hippocampus of the Rat 
  Kenneth I. Blum and L. F. Abbott
  Page 85
• A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe 
  Christiane Linster and Claudine Masson
  Page 94
• A Spherical Basis Function Neural Network for Modeling Auditory Space 
  Rick L. Jenison and Kate Fissell
  Page 115
• On Convergence Properties of the EM Algorithm for Gaussian Mixtures 
  Lei Xu and Michael I. Jordan
  Page 129
• A Comparison of Some Error Estimates for Neural Network Models 
  Robert Tibshirani
  Page 152
• Neural Networks for Optimal Approximation of Smooth and Analytic Functions 
  H. N. Mhaskar
  Page 164
• Equivalence of Linear Boltzmann Chains and Hidden Markov Models 
  David J. C. MacKay
  Page 178
• Diagrammatic Derivation of Gradient Algorithms for Neural Networks 
  Eric A. Wan and Franoise Beaufays
  Page 182
• Does Extra Knowledge Necessarily Improve Generalization? 
  David Barber and David Saad
  Page 202