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Volume 8, Issue 1
January 1996
Neural Computation Cover Image for Volume 8, Issue 1
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Lower Bounds for the Computational Power of Networks of Spiking Neurons
Wolfgang Maass
Neural Computation (1996) 8 (1): 1–40.
View articletitled, Lower Bounds for the Computational Power of Networks of Spiking Neurons
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Note

A Short Proof of the Posterior Probability Property of Classifier Neural Networks
Raúl Rojas
Neural Computation (1996) 8 (1): 41–43.
View articletitled, A Short Proof of the Posterior Probability Property of Classifier Neural Networks
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Letters

Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold
Fabrizio Gabbiani, Christof Koch
Neural Computation (1996) 8 (1): 44–66.
View articletitled, Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold
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A Simple Spike Train Decoder Inspired by the Sampling Theorem
David A. August, William B Levy
Neural Computation (1996) 8 (1): 67–84.
View articletitled, A Simple Spike Train Decoder Inspired by the Sampling Theorem
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A Model of Spatial Map Formation in the Hippocampus of the Rat
Kenneth I. Blum, L. F. Abbott
Neural Computation (1996) 8 (1): 85–93.
View articletitled, A Model of Spatial Map Formation in the Hippocampus of the Rat
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A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
Christiane Linster, Claudine Masson
Neural Computation (1996) 8 (1): 94–114.
View articletitled, A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
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A Spherical Basis Function Neural Network for Modeling Auditory Space
Rick L. Jenison, Kate Fissell
Neural Computation (1996) 8 (1): 115–128.
View articletitled, A Spherical Basis Function Neural Network for Modeling Auditory Space
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On Convergence Properties of the EM Algorithm for Gaussian Mixtures
Lei Xu, Michael I. Jordan
Neural Computation (1996) 8 (1): 129–151.
View articletitled, On Convergence Properties of the EM Algorithm for Gaussian Mixtures
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A Comparison of Some Error Estimates for Neural Network Models
Robert Tibshirani
Neural Computation (1996) 8 (1): 152–163.
View articletitled, A Comparison of Some Error Estimates for Neural Network Models
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Neural Networks for Optimal Approximation of Smooth and Analytic Functions
H. N. Mhaskar
Neural Computation (1996) 8 (1): 164–177.
View articletitled, Neural Networks for Optimal Approximation of Smooth and Analytic Functions
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Equivalence of Linear Boltzmann Chains and Hidden Markov Models
David J. C. MacKay
Neural Computation (1996) 8 (1): 178–181.
View articletitled, Equivalence of Linear Boltzmann Chains and Hidden Markov Models
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Diagrammatic Derivation of Gradient Algorithms for Neural Networks
Eric A. Wan, Françoise Beaufays
Neural Computation (1996) 8 (1): 182–201.
View articletitled, Diagrammatic Derivation of Gradient Algorithms for Neural Networks
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Does Extra Knowledge Necessarily Improve Generalization?
David Barber, David Saad
Neural Computation (1996) 8 (1): 202–214.
View articletitled, Does Extra Knowledge Necessarily Improve Generalization?
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