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Volume 13, Issue 9
September 2001
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Modeling Neuronal Assemblies: Theory and Implementation
J. Eggert, J. L. van Hemmen
Neural Computation (2001) 13 (9): 1923–1974.
View articletitled, Modeling Neuronal Assemblies: Theory and Implementation
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Notes

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
J. B. Gao, C. J. Harris, S. R. Gunn
Neural Computation (2001) 13 (9): 1975–1994.
View articletitled, On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
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Extraction of Specific Signals with Temporal Structure
Allan Kardec Barros, Andrzej Cichocki
Neural Computation (2001) 13 (9): 1995–2003.
View articletitled, Extraction of Specific Signals with Temporal Structure
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Letters

Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
Sybert Stroeve, Stan Gielen
Neural Computation (2001) 13 (9): 2005–2029.
View articletitled, Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
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Attention Modulation of Neural Tuning Through Peak and Base Rate
Hiroyuki Nakahara, Si Wu, Shun-ichi Amari
Neural Computation (2001) 13 (9): 2031–2047.
View articletitled, Attention Modulation of Neural Tuning Through Peak and Base Rate
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Democratic Integration: Self-Organized Integration of Adaptive Cues
Jochen Triesch, Christoph von der Malsburg
Neural Computation (2001) 13 (9): 2049–2074.
View articletitled, Democratic Integration: Self-Organized Integration of Adaptive Cues
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An Autoassociative Neural Network Model of Paired-Associate Learning
Daniel S. Rizzuto, Michael J. Kahana
Neural Computation (2001) 13 (9): 2075–2092.
View articletitled, An Autoassociative Neural Network Model of Paired-Associate Learning
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Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
Paul Rodriguez
Neural Computation (2001) 13 (9): 2093–2118.
View articletitled, Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
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Training v-Support Vector Classifiers: Theory and Algorithms
Chih-Chung Chang, Chih-Jen Lin
Neural Computation (2001) 13 (9): 2119–2147.
View articletitled, Training <em>v</em>-Support Vector Classifiers: Theory and Algorithms
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A Tighter Bound for Graphical Models
M. A. R. Leisink, H. J. Kappen
Neural Computation (2001) 13 (9): 2149–2171.
View articletitled, A Tighter Bound for Graphical Models
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