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Volume 13, Issue 8
August 2001
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
Lance R. Williams, Karvel K. Thornber
Neural Computation (2001) 13 (8): 1683–1711.
View articletitled, Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
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Note

A Spike-Train Probability Model
Robert E. Kass, Valérie Ventura
Neural Computation (2001) 13 (8): 1713–1720.
View articletitled, A Spike-Train Probability Model
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Letters

Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models
Thomas Wennekers
Neural Computation (2001) 13 (8): 1721–1747.
View articletitled, Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models
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Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex*
Zhaoping Li
Neural Computation (2001) 13 (8): 1749–1780.
View articletitled, Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex*
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A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
Osamu Hoshino, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara
Neural Computation (2001) 13 (8): 1781–1810.
View articletitled, A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming
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Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
Heiko Wersing, Wolf-Jürgen Beyn, Helge Ritter
Neural Computation (2001) 13 (8): 1811–1825.
View articletitled, Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
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An Information-Based Neural Approach to Constraint Satisfaction
Henrik Jönsson, Bo Söderberg
Neural Computation (2001) 13 (8): 1827–1838.
View articletitled, An Information-Based Neural Approach to Constraint Satisfaction
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Recurrence Methods in the Analysis of Learning Processes
S. Mendelson, I. Nelken
Neural Computation (2001) 13 (8): 1839–1861.
View articletitled, Recurrence Methods in the Analysis of Learning Processes
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Subspace Information Criterion for Model Selection
Masashi Sugiyama, Hidemitsu Ogawa
Neural Computation (2001) 13 (8): 1863–1889.
View articletitled, Subspace Information Criterion for Model Selection
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Convergent Decomposition Techniques for Training RBF Neural Networks
C. Buzzi, L. Grippo, M. Sciandrone
Neural Computation (2001) 13 (8): 1891–1920.
View articletitled, Convergent Decomposition Techniques for Training RBF Neural Networks
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Errata
Neural Computation (2001) 13 (8): 1921.
View articletitled, Errata
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