Neural Computation

Volume 21 : Issue 11

Table of Contents

• On the Maximization of Information Flow Between Spiking Neurons 
  Lucas C. Parra, Jeffrey M. Beck and Anthony J. Bell
  Page 2991
• Cortical Circuitry Implementing Graphical Models 
  Shai Litvak and Shimon Ullman
  Page 3010
• Electrical Coupling Promotes Fidelity of Responses in the Networks of Model Neurons 
  Georgi S. Medvedev
  Page 3057
• Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution 
  Xuejuan Zhang, Gongqiang You, Tianping Chen and Jianfeng Feng
  Page 3079
• Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses 
  Massimilian Giulioni, Mario Pannunzi, Davide Badoni, Vittorio Dante and Paolo Del Giudice
  Page 3106
• Approximate Learning Algorithm in Boltzmann Machines 
  Muneki Yasuda and Kazuyuki Tanaka
  Page 3130
• Robust Kernel Principal Component Analysis 
  Su-Yun Huang, Yi-Ren Yeh and Shinto Eguchi
  Page 3179
• Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification 
  James Ting-Ho Lo
  Page 3214
• Partial Orders of Similarity Differences Invariant Between EEG-Recorded Brain and Perceptual Representations of Language 
  Patrick Suppes, Marcos Perreau-Guimaraes and Dik Kin Wong
  Page 3228