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Issues

Volume 12, Issue 12
December 2000
Issue Cover
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Evolution of Cooperative Problem Solving in an Artificial Economy
Eric B. Baum, Igor Durdanovic
Neural Computation (2000) 12 (12): 2743–2775.
View articletitled, Evolution of Cooperative Problem Solving in an Artificial Economy
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Cortical Potential Distributions and Information Processing
Henry C. Tuckwell
Neural Computation (2000) 12 (12): 2777–2795.
View articletitled, Cortical Potential Distributions and Information Processing
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Note

Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials
Jonathan D. Victor
Neural Computation (2000) 12 (12): 2797–2804.
View articletitled, Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials
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Letters

Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions
D. Chawla, E. D. Lumer, K. J. Friston
Neural Computation (2000) 12 (12): 2805–2821.
View articletitled, Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions
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Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System
J. McIntyre, F. Stratta, J. Droulez, F. Lacquaniti
Neural Computation (2000) 12 (12): 2823–2855.
View articletitled, Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System
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Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
Giacomo Indiveri
Neural Computation (2000) 12 (12): 2857–2880.
View articletitled, Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
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Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures
Jinwen Ma, Lei Xu, Michael I. Jordan
Neural Computation (2000) 12 (12): 2881–2907.
View articletitled, Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures
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Incremental Active Learning for Optimal Generalization
Masashi Sugiyama, Hidemitsu Ogawa
Neural Computation (2000) 12 (12): 2909–2940.
View articletitled, Incremental Active Learning for Optimal Generalization
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A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs
J. L. Bernier, J. Ortega, E. Ros, I. Rojas, A. Prieto
Neural Computation (2000) 12 (12): 2941–2964.
View articletitled, A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs
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On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets
Jiří Šíma, Pekka Orponen, Teemu Antti-Poika
Neural Computation (2000) 12 (12): 2965–2989.
View articletitled, On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets
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Index
Neural Computation (2000) 12 (12): 2991–3010.
View articletitled, Index
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