Neural Computation

Volume 23 : Issue 6

Table of Contents

• Neural Associative Memory with Optimal Bayesian Learning 
  Andreas Knoblauch
  Page 1393
• Applying the Multivariate Time-Rescaling Theorem to Neural Population Models 
  Felipe Gerhard, Robert Haslinger and Gordon Pipa
  Page 1452
• Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons 
  Jeffrey Beck, Vikranth R. Bejjanki and Alexandre Pouget
  Page 1484
• Vectorized Algorithms for Spiking Neural Network Simulation 
  Romain Brette and Dan F. M. Goodman
  Page 1503
• Multiplicative Gain Modulation Arises Through Unsupervised Learning in a Predictive Coding Model of Cortical Function 
  Kris De Meyer and Michael W. Spratling
  Page 1536
• Projective Clustering Using Neural Networks with Adaptive Delay and Signal Transmission Loss 
  Jianhong Wu, Hossein Zivari-Piran, John D. Hunter and John G. Milton
  Page 1568
• Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models 
  Lingyan Ruan, Ming Yuan and Hui Zou
  Page 1605
• An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm 
  Yu Fujimoto, Hideitsu Hino and Noboru Murata
  Page 1623