Neural Computation

Volume 23 : Issue 5

Table of Contents

• Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems 
  Sean Escola, Alfredo Fontanini, Don Katz and Liam Paninski
  Page 1071
• Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks 
  Jin Seo Cho, Isao Ishida and Halbert White
  Page 1133
• On the Performance of Voltage Stepping for the Simulation of Adaptive, Nonlinear Integrate-and-Fire Neuronal Networks 
  Mohamed Ghaith Kaabi, Arnaud Tonnelier and Dominique Martinez
  Page 1187
• Detection of Hidden Structures in Nonstationary Spike Trains 
  Ken Takiyama and Masato Okada
  Page 1205
• The Dynamics of Integrate-and-Fire: Mean Versus Variance Modulations and Dependence on Baseline Parameters 
  Joanna Pressley and Todd W. Troyer
  Page 1234
• Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field 
  Yao Lu, Yuzuru Sato and Shun-ichi Amari
  Page 1248
• Mechanisms That Modulate the Transfer of Spiking Correlations 
  Robert Rosenbaum and Kre¿imir Josi¿
  Page 1261
• Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines 
  Guido Montufar and Nihat Ay
  Page 1306
• Time-Free Spiking Neural P Systems 
  Linqiang Pan, Xiangxiang Zeng and Xingyi Zhang
  Page 1320
• Divergence-Based Vector Quantization 
  Thomas Villmann and Sven Haase
  Page 1343