Neural Computation

Volume 21 : Issue 7

Table of Contents

• Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States 
  Zhe Chen, Sujith Vijayan, Riccardo Barbieri, Matthew A. Wilson and Emery N. Brown
  Page 1797
• Maximally Reliable Markov Chains Under Energy Constraints 
  Sean Escola, Michael Eisele, Kenneth Miller and Liam Paninski
  Page 1863
• Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models 
  Ronald A. J. van Elburg and Arjen van Ooyen
  Page 1913
• Estimating Instantaneous Irregularity of Neuronal Firing 
  Takeaki Shimokawa and Shigeru Shinomoto
  Page 1931
• Combining Feature- and Correspondence-Based Methods for Visual Object Recognition 
  Gnter Westphal and Rolf P. Wrtz
  Page 1952
• Stochastic Variance Models in Discrete Time with Feedforward Neural Networks 
  Charles Andoh
  Page 1990
• An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching 
  Luca Lonini, Laura Dipietro, Loredana Zollo, Eugenio Guglielmelli and Hermano Igo Krebs
  Page 2009
• Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming 
  Tadayoshi Fushiki
  Page 2028
• A Multiclass Classification Method Based on Decoding of Binary Classifiers 
  Takashi Takenouchi and Shin Ishii
  Page 2049
• Validation-Based Sparse Gaussian Process Classifier Design 
  Shirish Shevade and S. Sundararajan
  Page 2082