Neural Computation

Volume 21 : Issue 8

Table of Contents

• Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains 
  Daniel K. Wjcik, Gabriela Mochol, Wit Jakuczun, Marek Wypych and Wioletta J. Waleszczyk
  Page 2105
• Importance of the Cutoff Value in the Quadratic Adaptive Integrate-and-Fire Model 
  Jonathan Touboul
  Page 2114
• Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain 
  Ramn Huerta and Thomas Nowotny
  Page 2123
• Quantifying Statistical Interdependence by Message Passing on GraphsPart I: One-Dimensional Point Processes 
  J. Dauwels, F. Vialatte, T. Weber and A. Cichocki
  Page 2152
• Quantifying Statistical Interdependence by Message Passing on GraphsPart II: Multidimensional Point Processes 
  J. Dauwels, F. Vialatte, T. Weber, T. Musha and A. Cichocki
  Page 2203
• Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons 
  Yoram Burak, Sam Lewallen and Haim Sompolinsky
  Page 2269
• Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs 
  Masami Tatsuno, Jean-Marc Fellous and Shun-ichi Amari
  Page 2309
• Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks 
  Xiang Zhou, KongFatt Wong-Lin and Holmes Philip
  Page 2336
• Randomized Shortest-Path Problems: Two Related Models 
  Marco Saerens, Youssef Achbany, Franois Fouss and Luh Yen
  Page 2363
• Erratum (A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals by Jonathan Tapson, Craig Jin, Andr van Schaik, and Ralph Etienne-Cummings, Neural Computation, June 2009, Vol. 21, No. 6: 1 
  
  Page 2405