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Volume 8, Issue 2
February 1996
Neural Computation Cover Image for Volume 8, Issue 2
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Encoding with Bursting, Subthreshold Oscillations, and Noise in Mammalian Cold Receptors
André Longtin, Karin Hinzer
Neural Computation (1996) 8 (2): 215–255.
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Notes

Associative Memory with Uncorrelated Inputs
Ronald Michaels
Neural Computation (1996) 8 (2): 256–259.
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Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps
Lucas Parra, Gustavo Deco, Stefan Miesbach
Neural Computation (1996) 8 (2): 260–269.
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Letters

Neural Network Models of Perceptual Learning of Angle Discrimination
G. Mato, H. Sompolinsky
Neural Computation (1996) 8 (2): 270–299.
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Directional Filling-in
Karl Frederick Arrington
Neural Computation (1996) 8 (2): 300–318.
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Binary-Oscillator Networks: Bridging a Gap between Experimental and Abstract Modeling of Neural Networks
Wei-Ping Wang
Neural Computation (1996) 8 (2): 319–339.
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Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller
Neural Computation (1996) 8 (2): 340–356.
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A Recurrent Network Implementation of Time Series Classification
Vassilios Petridis, Athanasios Kehagias
Neural Computation (1996) 8 (2): 357–372.
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Temporal Segmentation in a Neural Dynamic System
David Horn, Irit Opher
Neural Computation (1996) 8 (2): 373–389.
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Circular Nodes in Neural Networks
Michael J. Kirby, Rick Miranda
Neural Computation (1996) 8 (2): 390–402.
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The Computational Power of Discrete Hopfield Nets with Hidden Units
Pekka Orponen
Neural Computation (1996) 8 (2): 403–415.
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A Self-Organizing Neural Network for the Traveling Salesman Problem That Is Competitive with Simulated Annealing
Marco Budinich
Neural Computation (1996) 8 (2): 416–424.
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Hierarchical, Unsupervised Learning with Growing via Phase Transitions
David Miller, Kenneth Rose
Neural Computation (1996) 8 (2): 425–450.
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The Interchangeability of Learning Rate and Gain in Backpropagation Neural Networks
Georg Thimm, Perry Moerland, Emile Fiesler
Neural Computation (1996) 8 (2): 451–460.
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