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Volume 22, Issue 6
June 2010
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Reward-Modulated Hebbian Learning of Decision Making
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass
Neural Computation (2010) 22 (6): 1399–1444.
View articletitled, Reward-Modulated Hebbian Learning of Decision Making
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Notes

General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons
A. Scaglione, K. A. Moxon, G. Foffani
Neural Computation (2010) 22 (6): 1445–1467.
View articletitled, General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons
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Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
Michiel D'Haene, Benjamin Schrauwen
Neural Computation (2010) 22 (6): 1468–1472.
View articletitled, Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
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Letters

Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
Roland Memisevic, Geoffrey E. Hinton
Neural Computation (2010) 22 (6): 1473–1492.
View articletitled, Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
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Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
Felix Creutzig, Jan Benda, Sandra Wohlgemuth, Andreas Stumpner, Bernhard Ronacher ...
Neural Computation (2010) 22 (6): 1493–1510.
View articletitled, Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
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Hyperbolically Discounted Temporal Difference Learning
William H. Alexander, Joshua W. Brown
Neural Computation (2010) 22 (6): 1511–1527.
View articletitled, Hyperbolically Discounted Temporal Difference Learning
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Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations
Rubén Moreno-Bote, Néstor Parga
Neural Computation (2010) 22 (6): 1528–1572.
View articletitled, Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations
Supplementary data
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Bayesian Inference Based on Stationary Fokker-Planck Sampling
Arturo Berrones
Neural Computation (2010) 22 (6): 1573–1596.
View articletitled, Bayesian Inference Based on Stationary Fokker-Planck Sampling
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Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang
Neural Computation (2010) 22 (6): 1597–1614.
View articletitled, Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
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Learning the Dynamical System Behind Sensory Data
Jaehyung Lee, Soo-Young Lee
Neural Computation (2010) 22 (6): 1615–1645.
View articletitled, Learning the Dynamical System Behind Sensory Data
Supplementary data
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Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior
Jiucang Hao, Intae Lee, Te-Won Lee, Terrence J. Sejnowski
Neural Computation (2010) 22 (6): 1646–1673.
View articletitled, Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior
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