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Volume 8, Issue 4
May 1996
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants
Christian W. Omlin, C. Lee Giles
Neural Computation (1996) 8 (4): 675–696.
View articletitled, Stable Encoding of Large Finite-State Automata in Recurrent Neural Networks with Sigmoid Discriminants
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Note

Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks
Inman Harvey, James V. Stone
Neural Computation (1996) 8 (4): 697–704.
View articletitled, Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks
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Letters

A Theory of the Visual Motion Coding in the Primary Visual Cortex
Zhaoping Li
Neural Computation (1996) 8 (4): 705–730.
View articletitled, A Theory of the Visual Motion Coding in the Primary Visual Cortex
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Alignment of Coexisting Cortical Maps in a Motor Control Model
Yinong Chen, James A. Reggia
Neural Computation (1996) 8 (4): 731–755.
View articletitled, Alignment of Coexisting Cortical Maps in a Motor Control Model
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Controlling the Magnification Factor of Self-Organizing Feature Maps
H.-U. Bauer, R. Der, M. Herrmann
Neural Computation (1996) 8 (4): 757–771.
View articletitled, Controlling the Magnification Factor of Self-Organizing Feature Maps
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Semilinear Predictability Minimization Produces Well-Known Feature Detectors
Jürgen Schmidhuber, Martin Eldracher, Bernhard Foltin
Neural Computation (1996) 8 (4): 773–786.
View articletitled, Semilinear Predictability Minimization Produces Well-Known Feature Detectors
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Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures
Steven Gold, Anand Rangarajan, Eric Mjolsness
Neural Computation (1996) 8 (4): 787–804.
View articletitled, Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures
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Analog versus Discrete Neural Networks
Bhaskar DasGupta, Georg Schnitger
Neural Computation (1996) 8 (4): 805–818.
View articletitled, Analog versus Discrete Neural Networks
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On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions
Partha Niyogi, Federico Girosi
Neural Computation (1996) 8 (4): 819–842.
View articletitled, On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions
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Using Neural Networks to Model Conditional Multivariate Densities
Peter M. Williams
Neural Computation (1996) 8 (4): 843–854.
View articletitled, Using Neural Networks to Model Conditional Multivariate Densities
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Pruning with Replacement on Limited Resource Allocating Networks by F-Projections
Christophe Molina, Mahesan Niranjan
Neural Computation (1996) 8 (4): 855–868.
View articletitled, Pruning with Replacement on Limited Resource Allocating Networks by F-Projections
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Engineering Multiversion Neural-Net Systems
D. Partridge, W. B. Yates
Neural Computation (1996) 8 (4): 869–893.
View articletitled, Engineering Multiversion Neural-Net Systems
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