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Volume 20, Issue 7
July 2008
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons
Rubén Moreno-Bote, Alfonso Renart, Néstor Parga
Neural Computation (2008) 20 (7): 1651–1705.
View articletitled, Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons
Supplementary data
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Note

Online Learning with Hidden Markov Models
Gianluigi Mongillo, Sophie Deneve
Neural Computation (2008) 20 (7): 1706–1716.
View articletitled, Online Learning with Hidden Markov Models
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Letters

Effects of Synaptic Synchrony on the Neuronal Input-Output Relationship
Xiaoshen Li, Giorgio A. Ascoli
Neural Computation (2008) 20 (7): 1717–1731.
View articletitled, Effects of Synaptic Synchrony on the Neuronal Input-Output Relationship
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Extending Cable Theory to Heterogeneous Dendrites
Claude Meunier, Boris Lamotte d'Incamps
Neural Computation (2008) 20 (7): 1732–1775.
View articletitled, Extending Cable Theory to Heterogeneous Dendrites
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Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
Shinsuke Koyama, Robert E. Kass
Neural Computation (2008) 20 (7): 1776–1795.
View articletitled, Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
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Temporal Coding: Assembly Formation Through Constructive Interference
Thomas Burwick
Neural Computation (2008) 20 (7): 1796–1820.
View articletitled, Temporal Coding: Assembly Formation Through Constructive Interference
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Fast Recursive Filters for Simulating Nonlinear Dynamic Systems
J. H. van Hateren
Neural Computation (2008) 20 (7): 1821–1846.
View articletitled, Fast Recursive Filters for Simulating Nonlinear Dynamic Systems
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Adaptive Integration in the Visual Cortex by Depressing Recurrent Cortical Circuits
Mark C. W. van Rossum, Matthijs A. A. van der Meer, Dengke Xiao, Mike W. Oram
Neural Computation (2008) 20 (7): 1847–1872.
View articletitled, Adaptive Integration in the Visual Cortex by Depressing Recurrent Cortical Circuits
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Spectral Algorithms for Supervised Learning
L. Lo Gerfo, L. Rosasco, F. Odone, E. De Vito, A. Verri
Neural Computation (2008) 20 (7): 1873–1897.
View articletitled, Spectral Algorithms for Supervised Learning
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