Neural Computation

Volume 17 : Issue 9

Table of Contents

• The Cocktail Party Problem 
  Simon Haykin and Zhe Chen
  Page 1875
• Edgeworth Approximation of Multivariate Differential Entropy 
  Marc M. Van Hulle
  Page 1903
• Perfect Fault Tolerance of the n-k-n Network 
  Elko B. Tchernev, Rory G. Mulvaney and Dhananjay S. Phatak
  Page 1911
• On the Slow Convergence of EM and VBEM in Low-Noise Linear Models 
  Kaare Brandt Petersen, Ole Winther and Lars Kai Hansen
  Page 1921
• Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity 
  Murat Okatan, Matthew A. Wilson and Emery N. Brown
  Page 1927
• Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population 
  G. Pola, R.S. Petersen, A. Thiele, M.P. Young and S. Panzeri
  Page 1962
• Fluctuation-Dissipation Theorem and Models of Learning 
  Ilya Nemenman
  Page 2006
• Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity 
  Kosuke Hamaguchi, Masato Okada, Michiko Yamana and Kazuyuki Aihara
  Page 2034
• Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation 
  Pierre A. Fortier, Emmanuel Guigon and Yves Burnod
  Page 2060
• Learning Bounds for Kernel Regression Using Effective Data Dimensionality 
  Tong Zhang
  Page 2077