Neural Computation

Volume 22 : Issue 6

Table of Contents

• Reward-Modulated Hebbian Learning of Decision Making 
  Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass
  Page 1399
• General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons 
  A. Scaglione, K. A. Moxon and G. Foffani
  Page 1445
• Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models 
  Michiel D'Haene and Benjamin Schrauwen
  Page 1468
• Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines 
  Roland Memisevic and Geoffrey E. Hinton
  Page 1473
• Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing 
  Felix Creutzig, Jan Benda, Sandra Wohlgemuth, Andreas Stumpner, Bernhard Ronacher and Andreas V. M. Herz
  Page 1493
• Hyperbolically Discounted Temporal Difference Learning 
  William H. Alexander and Joshua W. Brown
  Page 1511
• Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations 
  Rubn Moreno-Bote and Nstor Parga
  Page 1528
• Bayesian Inference Based on Stationary Fokker-Planck Sampling 
  Arturo Berrones
  Page 1573
• Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval 
  Pengsheng Zheng, Wansheng Tang and Jianxiong Zhang
  Page 1597
• Learning the Dynamical System Behind Sensory Data 
  Jaehyung Lee and Soo-Young Lee
  Page 1615
• Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior 
  Jiucang Hao, Intae Lee, Te-Won Lee and Terrence J. Sejnowski
  Page 1646