Neural Computation

Volume 22 : Issue 10

Table of Contents

• Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking 
  Robert Haslinger, Gordon Pipa and Emery Brown
  Page 2477
• Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode 
  Daniel Calabuig, Jose F. Monserrat and Narcs Cardona
  Page 2507
• Probability of Repeating Patterns in Simultaneous Neural Data 
  Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank and Peter Smith
  Page 2522
• Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding 
  N. M. Fernandes, B. D. L. Pinto, L. O. B. Almeida, J. F. W. Slaets and R. Kberle
  Page 2537
• On a Stochastic Leaky Integrate-and-Fire Neuronal Model 
  A. Buonocore, L. Caputo, E. Pirozzi and L.M. Ricciardi
  Page 2558
• Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias 
  Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami and Masato Okada
  Page 2586
• Spiking Neural P Systems with Weights 
  Jun Wang, Hendrik Jan Hoogeboom, Linqiang Pan, Gheorghe Pun and Mario J. Prez-Jimnez
  Page 2615
• A New Bidimensional Neural Field Model with Heterogeneous Connection Topology 
  Mouhamad Jradeh
  Page 2647
• Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks 
  Dongpo Xu, Huisheng Zhang and Lijun Liu
  Page 2655
• Large-Margin Classification in Infinite Neural Networks 
  Youngmin Cho and Lawrence K. Saul
  Page 2678
• The MEE Principle in Data Classification: A Perceptron-Based Analysis 
  Lus M. Silva, J. Marques de S and Lus A. Alexandre
  Page 2698