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Issues

Volume 17, Issue 11
November 2005
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Note

An Extended Analytic Expression for the Membrane Potential Distribution of Conductance-Based Synaptic Noise
M. Rudolph, A. Destexhe
Neural Computation (2005) 17 (11): 2301–2315.
View articletitled, An Extended Analytic Expression for the Membrane Potential Distribution of Conductance-Based Synaptic Noise
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Letters

Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity
Peter A. Appleby, Terry Elliott
Neural Computation (2005) 17 (11): 2316–2336.
View articletitled, Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity
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What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?
Robert Legenstein, Christian Naeger, Wolfgang Maass
Neural Computation (2005) 17 (11): 2337–2382.
View articletitled, What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?
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How Membrane Properties Shape the Discharge of Motoneurons: A Detailed Analytical Study
Claude Meunier, Karol Borejsza
Neural Computation (2005) 17 (11): 2383–2420.
View articletitled, How Membrane Properties Shape the Discharge of Motoneurons: A Detailed Analytical Study
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Stimulus Competition by Inhibitory Interference
Paul H. E. Tiesinga
Neural Computation (2005) 17 (11): 2421–2453.
View articletitled, Stimulus Competition by Inhibitory Interference
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Optimization via Intermittency with a Self-Organizing Neural Network
Terence Kwok, Kate A. Smith
Neural Computation (2005) 17 (11): 2454–2481.
View articletitled, Optimization via Intermittency with a Self-Organizing Neural Network
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Mixture Modeling with Pairwise, Instance-Level Class Constraints
Qi Zhao, David J. Miller
Neural Computation (2005) 17 (11): 2482–2507.
View articletitled, Mixture Modeling with Pairwise, Instance-Level Class Constraints
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Geometrical Properties of Nu Support Vector Machines with Different Norms
Kazushi Ikeda, Noboru Murata
Neural Computation (2005) 17 (11): 2508–2529.
View articletitled, Geometrical Properties of Nu Support Vector Machines with Different Norms
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