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Issues

Volume 7, Issue 2
March 1995
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Review

Regularization Theory and Neural Networks Architectures
Federico Girosi, Michael Jones, Tomaso Poggio
Neural Computation (1995) 7 (2): 219–269.
View articletitled, Regularization Theory and Neural Networks Architectures
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Notes

A Counterexample to Temporal Differences Learning
Dimitri P. Bertsekas
Neural Computation (1995) 7 (2): 270–279.
View articletitled, A Counterexample to Temporal Differences Learning
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New Perceptron Model Using Random Bitstreams
Eel-wan Lee, Soo-Ik Chae
Neural Computation (1995) 7 (2): 280–283.
View articletitled, New Perceptron Model Using Random Bitstreams
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On the Ordering Conditions for Self-Organizing Maps
Marco Budinich, John G. Taylor
Neural Computation (1995) 7 (2): 284–289.
View articletitled, On the Ordering Conditions for Self-Organizing Maps
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Letters

A Simple Competitive Account of Some Response Properties of Visual Neurons in Area MSTd
Ruye Wang
Neural Computation (1995) 7 (2): 290–306.
View articletitled, A Simple Competitive Account of Some Response Properties of Visual Neurons in Area MSTd
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Synchrony in Excitatory Neural Networks
D. Hansel, G. Mato, C. Meunier
Neural Computation (1995) 7 (2): 307–337.
View articletitled, Synchrony in Excitatory Neural Networks
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Decorrelated Hebbian Learning for Clustering and Function Approximation
G. Deco, D. Obradovic
Neural Computation (1995) 7 (2): 338–348.
View articletitled, Decorrelated Hebbian Learning for Clustering and Function Approximation
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Identification Using Feedforward Networks
Asriel U. Levin, Kumpati S. Narendra
Neural Computation (1995) 7 (2): 349–369.
View articletitled, Identification Using Feedforward Networks
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An HMM/MLP Architecture for Sequence Recognition
Sung-Bae Cho, Jin H. Kim
Neural Computation (1995) 7 (2): 358–369.
View articletitled, An HMM/MLP Architecture for Sequence Recognition
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Learning Linear Threshold Approximations Using Perceptrons
Tom Bylander
Neural Computation (1995) 7 (2): 370–379.
View articletitled, Learning Linear Threshold Approximations Using Perceptrons
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An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane
Guillaume Deffuant
Neural Computation (1995) 7 (2): 380–398.
View articletitled, An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane
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The Upward Bias in Measures of Information Derived from Limited Data Samples
Alessandro Treves, Stefano Panzeri
Neural Computation (1995) 7 (2): 399–407.
View articletitled, The Upward Bias in Measures of Information Derived from Limited Data Samples
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Representation of Similarity in Three-Dimensional Object Discrimination
Shimon Edelman
Neural Computation (1995) 7 (2): 408–423.
View articletitled, Representation of Similarity in Three-Dimensional Object Discrimination
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