Neural Computation

Volume 20 : Issue 1

Table of Contents

• The High-Conductance State of Cortical Networks 
  Arvind Kumar, Sven Schrader, Ad Aertsen and Stefan Rotter
  Page 1
• Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms 
  Bernhard Englitz, Klaus M. Stiefel and Terrence J. Sejnowski
  Page 44
• A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems 
  Jeffrey J. Lovelace and Krzysztof J. Cios
  Page 65
• Bayesian Spiking Neurons I: Inference 
  Sophie Deneve
  Page 91
• Bayesian Spiking Neurons II: Learning 
  Sophie Deneve
  Page 118
• Population Coding with Motion Energy Filters: The Impact of Correlations 
  F. Klam, R. S. Zemel and A. Pouget
  Page 146
• Feedback Decoding of Spatially Structured Population Activity in Cortical Maps 
  Nicholas V. Swindale
  Page 176
• Chaotic Frequency Scaling in a Coupled Oscillator Model for Free Rhythmic Actions 
  Aaron Raftery, Joseph Cusumano and Dagmar Sternad
  Page 205
• The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors 
  Yutaka Sakai and Tomoki Fukai
  Page 227
• Minimization of Error Functionals over Perceptron Networks 
  Vra Krkov
  Page 252
• An SMO Algorithm for the Potential Support Vector Machine 
  Tilman Knebel, Sepp Hochreiter and Klaus Obermayer
  Page 271
• On the Classification Capability of Sign-Constrained Perceptrons 
  Robert Legenstein and Wolfgang Maass
  Page 288