NEURAL COMPUTATION 15:8

[Terry Sejnowski]

Neural Computation - Contents - Volume 15, Number 8 - August 1, 2003

ARTICLE
Computation In a Single Neuron:  Hodgkin and Huxley Revisited
Blaise Aguera Y Arcas, Adrienne L. Fairhall and William Bialek

NOTE
Learning the Nonlinearity of Neurons from Natural Visual Stimuli
Christoph Kayser, Konrad P. Kording and Peter Konig

LETTERS
Analytic Expressions for Rate and CV of a Type I Neuron Driven 
by White Gaussian Noise
Benjamin Lindner, Andre Longtin, and Adi Bulsara

What Causes a Neuron to Spike?
Blaise Aguera y Arcas and Adrienne L. Fairhall

Rate Models for Conductance-Based Cortical Neuronal Networks
Oren Shriki, David Hansel, and Haim Sompolinsky

Neural Representation of Probabilistic Information
M.J. Barber, J.W. Clark and C.H. Anderson

Learning the Gestalt Rule of Collinearity from Object Motion
Carsten Prodoehl, Rolf Wuertz and Christoph von der Malsburg

Recurrent Neural Networks With Small Weights Implement Definite Memory
Machines
Barbara Hammer and Peter Tino

Architectural Bias in Recurrent Neural Networks: Fractal Analysis
Peter Tino and Barbara Hammer

An Effective Bayesian Neural Network Classifier with a Comparison Study 
to Support Vector Machine
Faming Liang

Variational Bayesian Learning of ICA with Missing Data
Kwokleung Chan, Te-Won Lee and Terrence J. Sejnowski

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