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Volume 19, Issue 11
November 2007
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Notes

J4 at Sweet 16: A New Wrinkle?
Bardia F. Behabadi, Bartlett W. Mel
Neural Computation (2007) 19 (11): 2865–2870.
View articletitled, J4 at Sweet 16: A New Wrinkle?
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On the Consistency of Bayesian Function Approximation Using Step Functions
Heng Lian
Neural Computation (2007) 19 (11): 2871–2880.
View articletitled, On the Consistency of Bayesian Function Approximation Using Step Functions
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Letters

Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
Joseph M. Brader, Walter Senn, Stefano Fusi
Neural Computation (2007) 19 (11): 2881–2912.
View articletitled, Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
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Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques
M. A. Montemurro, R. Senatore, S. Panzeri
Neural Computation (2007) 19 (11): 2913–2957.
View articletitled, Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques
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Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
Eilif Muller, Lars Buesing, Johannes Schemmel, Karlheinz Meier
Neural Computation (2007) 19 (11): 2958–3010.
View articletitled, Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
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Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
Andreas Kaltenbrunner, Vicenç Gómez, Vicente López
Neural Computation (2007) 19 (11): 3011–3050.
View articletitled, Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
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Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation
Hajime Fujita, Shin Ishii
Neural Computation (2007) 19 (11): 3051–3087.
View articletitled, Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation
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Clustering Based on Gaussian Processes
Hyun-Chul Kim, Jaewook Lee
Neural Computation (2007) 19 (11): 3088–3107.
View articletitled, Clustering Based on Gaussian Processes
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Elman Backpropagation as Reinforcement for Simple Recurrent Networks
André Grüning
Neural Computation (2007) 19 (11): 3108–3131.
View articletitled, Elman Backpropagation as Reinforcement for Simple Recurrent Networks
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