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Volume 21, Issue 2
February 2009
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

A Spiking Neural Network Model of an Actor-Critic Learning Agent
Wiebke Potjans, Abigail Morrison, Markus Diesmann
Neural Computation (2009) 21 (2): 301–339.
View articletitled, A Spiking Neural Network Model of an Actor-Critic Learning Agent
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Note

A Gradient Learning Rule for the Tempotron
Robert Urbanczik, Walter Senn
Neural Computation (2009) 21 (2): 340–352.
View articletitled, A Gradient Learning Rule for the Tempotron
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Letters

Simplicity and Efficiency of Integrate-and-Fire Neuron Models
Hans E. Plesser, Markus Diesmann
Neural Computation (2009) 21 (2): 353–359.
View articletitled, Simplicity and Efficiency of Integrate-and-Fire Neuron Models
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Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
Cheng Ly, Daniel Tranchina
Neural Computation (2009) 21 (2): 360–396.
View articletitled, Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
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Generating Spike Trains with Specified Correlation Coefficients
Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge
Neural Computation (2009) 21 (2): 397–423.
View articletitled, Generating Spike Trains with Specified Correlation Coefficients
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A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing
António R. C. Paiva, Il Park, José C. Príncipe
Neural Computation (2009) 21 (2): 424–449.
View articletitled, A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing
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Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach
Seif Eldawlatly, Rong Jin, Karim G. Oweiss
Neural Computation (2009) 21 (2): 450–477.
View articletitled, Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach
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State-Dependent Computation Using Coupled Recurrent Networks
Ueli Rutishauser, Rodney J. Douglas
Neural Computation (2009) 21 (2): 478–509.
View articletitled, State-Dependent Computation Using Coupled Recurrent Networks
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The Problem of Rapid Variable Creation
Robert F. Hadley
Neural Computation (2009) 21 (2): 510–532.
View articletitled, The Problem of Rapid Variable Creation
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Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
Neural Computation (2009) 21 (2): 533–559.
View articletitled, Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
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Arbitrary Norm Support Vector Machines
Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu
Neural Computation (2009) 21 (2): 560–582.
View articletitled, Arbitrary Norm Support Vector Machines
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Sequential Triangle Strip Generator Based on Hopfield Networks
Jiří Šíma, Radim Lněnička
Neural Computation (2009) 21 (2): 583–617.
View articletitled, Sequential Triangle Strip Generator Based on Hopfield Networks
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