Neural Computation

Volume 19 : Issue 4

Table of Contents

• Synergies Between Intrinsic and Synaptic Plasticity Mechanisms 
  Jochen Triesch
  Page 885
• Distinguishing Causal Interactions in Neural Populations 
  Anil K. Seth and Gerald M. Edelman
  Page 910
• Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG 
  Mads Dyrholm, Scott Makeig and Lars Kai Hansen
  Page 934
• Information and Topology in Attractor Neural Networks 
  D. Dominguez, K. Koroutchev, E. Serrano and F. B. Rodrguez
  Page 956
• Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information 
  Gregory R. Stiesberg, Marcelo Bussotti Reyes, Pablo Varona, Reynaldo D. Pinto and Ramn Huerta
  Page 974
• Independent Slow Feature Analysis and Nonlinear Blind Source Separation 
  Tobias Blaschke, Tiziano Zito and Laurenz Wiskott
  Page 994
• A Maximum-Likelihood Interpretation for Slow Feature Analysis 
  Richard Turner and Maneesh Sahani
  Page 1022
• An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks 
  Su Lee Goh and Danilo P. Mandic
  Page 1039
• Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks 
  Peter Tio
  Page 1056
• Recursive Finite Newton Algorithm for Support Vector Regression in the Primal 
  Liefeng Bo, Ling Wang and Licheng Jiao
  Page 1082
• State-Space Models: From the EM Algorithm to a Gradient Approach 
  Rasmus Kongsgaard Olsson, Kaare Brandt Petersen and Tue Lehn-Schiler
  Page 1097
• Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance 
  Shinichi Nakajima and Sumio Watanabe
  Page 1112