288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation


Terrence J. Sejnowski, Editor-in-Chief

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

Table of Contents

Vol. 15, Issue 8 - August 1, 2003


Computation in a Single Neuron: Hodgkin and Huxley Revisited
pp. 1715-1749
Abstract | PDF (1.88 MB)
Learning the Nonlinearity of Neurons from Natural Visual Stimuli
pp. 1751-1759
Abstract | PDF (1.63 MB)
Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
pp. 1761-1788
Abstract | PDF (346.62 KB)
What Causes a Neuron to Spike?
pp. 1789-1807
Abstract | PDF (777.1 KB)
Rate Models for Conductance-Based Cortical Neuronal Networks
pp. 1809-1841
Abstract | PDF (625.07 KB)
Neural Representation of Probabilistic Information
pp. 1843-1864
Abstract | PDF (533.98 KB)
Learning the Gestalt Rule of Collinearity from Object Motion
pp. 1865-1896
Abstract | PDF (2.7 MB)
Recurrent Neural Networks with Small Weights Implement Definite Memory Machines
pp. 1897-1929
Abstract | PDF (366.11 KB)
Architectural Bias in Recurrent Neural Networks: Fractal Analysis
pp. 1931-1957
Abstract | PDF (304.75 KB)
An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine
pp. 1959-1989
Abstract | PDF (385.71 KB)
Variational Bayesian Learning of ICA with Missing Data
pp. 1991-2011
Abstract | PDF (1.45 MB)