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Issues

Volume 17, Issue 8
August 2005
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Review

How Close Are We to Understanding V1?
Bruno A. Olshausen, David J. Field
Neural Computation (2005) 17 (8): 1665–1699.
View articletitled, How Close Are We to Understanding V1?
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Notes

Motion Contrast Classification Is a Linearly Nonseparable Problem
Alireza S. Mahani, Ralf Wessel
Neural Computation (2005) 17 (8): 1700–1705.
View articletitled, Motion Contrast Classification Is a Linearly Nonseparable Problem
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Edgeworth-Expanded Gaussian Mixture Density Modeling
Marc M. Van Hulle
Neural Computation (2005) 17 (8): 1706–1714.
View articletitled, Edgeworth-Expanded Gaussian Mixture Density Modeling
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Letters

Movement Generation with Circuits of Spiking Neurons
Prashant Joshi, Wolfgang Maass
Neural Computation (2005) 17 (8): 1715–1738.
View articletitled, Movement Generation with Circuits of Spiking Neurons
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Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity
Osamu Hoshino
Neural Computation (2005) 17 (8): 1739–1775.
View articletitled, Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity
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Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing
Abigail Morrison, Carsten Mehring, Theo Geisel, Ad Aertsen, Markus Diesmann
Neural Computation (2005) 17 (8): 1776–1801.
View articletitled, Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing
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Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization
Miguel Atencia, Gonzalo Joya, Francisco Sandoval
Neural Computation (2005) 17 (8): 1802–1819.
View articletitled, Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization
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Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks
Jito Vanualailai, Shin-ichi Nakagiri
Neural Computation (2005) 17 (8): 1820–1835.
View articletitled, Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks
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Estimation and Marginalization Using the Kikuchi Approximation Methods
Payam Pakzad, Venkat Anantharam
Neural Computation (2005) 17 (8): 1836–1873.
View articletitled, Estimation and Marginalization Using the Kikuchi Approximation Methods
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