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Volume 20, Issue 9
September 2008
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen ...
Neural Computation (2008) 20 (9): 2133–2184.
View articletitled, Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
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Correlations and Population Dynamics in Cortical Networks
Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter
Neural Computation (2008) 20 (9): 2185–2226.
View articletitled, Correlations and Population Dynamics in Cortical Networks
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Note

On Exponential Convergence Conditions of an Extended Projection Neural Network
Youshen Xia, Dongyi Ye
Neural Computation (2008) 20 (9): 2227–2237.
View articletitled, On Exponential Convergence Conditions of an Extended Projection Neural Network
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Letters

Contrastive Divergence in Gaussian Diffusions
Javier R. Movellan
Neural Computation (2008) 20 (9): 2238–2252.
View articletitled, Contrastive Divergence in Gaussian Diffusions
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Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity
Terry Elliott
Neural Computation (2008) 20 (9): 2253–2307.
View articletitled, Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity
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Random Neural Networks with Synchronized Interactions
Erol Gelenbe, Stelios Timotheou
Neural Computation (2008) 20 (9): 2308–2324.
View articletitled, Random Neural Networks with Synchronized Interactions
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Encoding and Decoding Spikes for Dynamic Stimuli
Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel
Neural Computation (2008) 20 (9): 2325–2360.
View articletitled, Encoding and Decoding Spikes for Dynamic Stimuli
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A (Somewhat) New Solution to the Variable Binding Problem
Leon Barrett, Jerome Feldman, Liam Mac Dermed
Neural Computation (2008) 20 (9): 2361–2378.
View articletitled, A (Somewhat) New Solution to the Variable Binding Problem
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