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| Neural Computation |
| The MIT Press |
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Volume 11
Issue 5 |
| Jul 01, 1999 |
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ISSN: 08997667 |
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Neural Computation
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Volume 11 :
Issue 5
Table of Contents
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Comparison of Approximate Methods for Handling Hyperparameters

David J. C. MacKay, David J. C. MacKay and David J. C. MacKay
Page 1035
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Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network

Danilo P. Mandic, Danilo P. Mandic, Danilo P. Mandic, Jonathon A. Chambers, Jonathon A. Chambers and Jonathon A. Chambers
Page 1069
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Network Stability from Activity-Dependent Regulation of Neuronal Conductances

Jorge Golowasch, Jorge Golowasch, Jorge Golowasch, Michael Casey, Michael Casey, Michael Casey, L. F. Abbott, L. F. Abbott, L. F. Abbott, Eve Marder, Eve Marder and Eve Marder
Page 1079
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Optimal Detection of Flash Intensity Differences Using Rod Photocurrent Observations

Peter N. Steinmetz, Peter N. Steinmetz, Peter N. Steinmetz, Raimond L. Winslow, Raimond L. Winslow and Raimond L. Winslow
Page 1097
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On the Role of Biophysical Properties of Cortical Neurons in Binding and Segmentation of Visual Scenes

Paul F. M. J. Verschure, Paul F. M. J. Verschure, Paul F. M. J. Verschure, Peter Knig, Peter Knig and Peter Knig
Page 1113
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The Continuum of Operating Modes for a Passive Model Neuron

Michael A. Kisley, Michael A. Kisley, Michael A. Kisley, George L. Gerstein, George L. Gerstein and George L. Gerstein
Page 1139
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Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction

Matthew Brand, Matthew Brand and Matthew Brand
Page 1155
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On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models

Wenxin Jiang, Wenxin Jiang, Wenxin Jiang, Martin A. Tanner, Martin A. Tanner and Martin A. Tanner
Page 1183
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Stochastic Learning of Strategic Equilibria for Auctions

Samy Bengio, Samy Bengio, Samy Bengio, Yoshua Bengio, Yoshua Bengio, Yoshua Bengio, Jacques Robert, Jacques Robert, Jacques Robert, Gilles Blanger, Gilles Blanger and Gilles Blanger
Page 1199
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Kalman Filter Implementation of Self-Organizing Feature Maps

Karin Haese, Karin Haese and Karin Haese
Page 1211
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A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates

Wei Wei, Wei Wei, Wei Wei, Todd K. Leen, Todd K. Leen, Todd K. Leen, Etienne Barnard, Etienne Barnard and Etienne Barnard
Page 1235
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Training a Sigmoidal Node Is Hard

Don R. Hush, Don R. Hush and Don R. Hush
Page 1249
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