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Volume 14, Issue 6
June 2002
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Cosine Tuning Minimizes Motor Errors
Emanuel Todorov
Neural Computation (2002) 14 (6): 1233–1260.
View articletitled, Cosine Tuning Minimizes Motor Errors
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Notes

SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework
Akihiro Minagawa, Norio Tagawa, Toshiyuki Tanaka
Neural Computation (2002) 14 (6): 1261–1266.
View articletitled, SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework
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A Note on the Decomposition Methods for Support Vector Regression
Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin
Neural Computation (2002) 14 (6): 1267–1281.
View articletitled, A Note on the Decomposition Methods for Support Vector Regression
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Letters

An Image Analysis Algorithm for Dendritic Spines
Ingrid Y. Y. Koh, W. Brent Lindquist, Karen Zito, Esther A. Nimchinsky, Karel Svoboda
Neural Computation (2002) 14 (6): 1283–1310.
View articletitled, An Image Analysis Algorithm for Dendritic Spines
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Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity
T. Elliott, N. R. Shadbolt
Neural Computation (2002) 14 (6): 1311–1322.
View articletitled, Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity
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Energy-Efficient Coding with Discrete Stochastic Events
Susanne Schreiber, Christian K. Machens, Andreas. V. M. Herz, Simon B. Laughlin
Neural Computation (2002) 14 (6): 1323–1346.
View articletitled, Energy-Efficient Coding with Discrete Stochastic Events
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Multiple Model-Based Reinforcement Learning
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato
Neural Computation (2002) 14 (6): 1347–1369.
View articletitled, Multiple Model-Based Reinforcement Learning
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A Bayesian Approach to the Stereo Correspondence Problem
Jenny C. A. Read
Neural Computation (2002) 14 (6): 1371–1392.
View articletitled, A Bayesian Approach to the Stereo Correspondence Problem
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Learning Curves for Gaussian Process Regression: Approximations and Bounds
Peter Sollich, Anason Halees
Neural Computation (2002) 14 (6): 1393–1428.
View articletitled, Learning Curves for Gaussian Process Regression: Approximations and Bounds
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A Global Optimum Approach for One-Layer Neural Networks
Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Neural Computation (2002) 14 (6): 1429–1449.
View articletitled, A Global Optimum Approach for One-Layer Neural Networks
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MLP in Layer-Wise Form with Applications to Weight Decay
Tommi Kärkkäinen
Neural Computation (2002) 14 (6): 1451–1480.
View articletitled, MLP in Layer-Wise Form with Applications to Weight Decay
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Local Overfitting Control via Leverages
Gaétan Monari, Gérard Dreyfus
Neural Computation (2002) 14 (6): 1481–1506.
View articletitled, Local Overfitting Control via Leverages
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