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Volume 21, Issue 4
April 2009
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
Neural Computation (2009) 21 (4): 911–959.
View articletitled, Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components
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Note

Measure of Correlation Orthogonal to Change in Firing Rate
Shun-ichi Amari
Neural Computation (2009) 21 (4): 960–972.
View articletitled, Measure of Correlation Orthogonal to Change in Firing Rate
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Letters

Determining Burst Firing Time Distributions from Multiple Spike Trains
Luis F. Lago-Fernández, Attila Szücs, Pablo Varona
Neural Computation (2009) 21 (4): 973–990.
View articletitled, Determining Burst Firing Time Distributions from Multiple Spike Trains
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Wide-Band Information Transmission at the Calyx of Held
Zhijun Yang, Matthias H. Hennig, Michael Postlethwaite, Ian D. Forsythe, Bruce P. Graham
Neural Computation (2009) 21 (4): 991–1017.
View articletitled, Wide-Band Information Transmission at the Calyx of Held
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Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory
Mehmet K. Muezzinoglu, Ramon Huerta, Henry D. I. Abarbanel, Margaret A. Ryan, Mikhail I. Rabinovich
Neural Computation (2009) 21 (4): 1018–1037.
View articletitled, Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory
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Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity
Takuma Tanaka, Takeshi Kaneko, Toshio Aoyagi
Neural Computation (2009) 21 (4): 1038–1067.
View articletitled, Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity
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Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants
Michiel D'Haene, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt
Neural Computation (2009) 21 (4): 1068–1099.
View articletitled, Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants
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Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis
Dotan Di Castro, Ron Meir, Irad Yavneh
Neural Computation (2009) 21 (4): 1100–1124.
View articletitled, Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis
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Stability of Localized Patterns in Neural Fields
Konstantin Doubrovinski, J. Michael Herrmann
Neural Computation (2009) 21 (4): 1125–1144.
View articletitled, Stability of Localized Patterns in Neural Fields
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Bayesian k-Means as a “Maximization-Expectation” Algorithm
Kenichi Kurihara, Max Welling
Neural Computation (2009) 21 (4): 1145–1172.
View articletitled, Bayesian <em>k</em>-Means as a “Maximization-Expectation” Algorithm
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On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning
Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter
Neural Computation (2009) 21 (4): 1173–1202.
View articletitled, On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning
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