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. 21, Issue 1 - January 2009


Long-Range Out-of-Sample Properties of Autoregressive Neural Networks
pp. 1-8
Abstract | PDF (66.19 KB)
Spike-Timing Error Backpropagation in Theta Neuron Networks
pp. 9-45
Abstract | PDF (545.32 KB)
A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States
pp. 46-100
Abstract | PDF (4.16 MB)
A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks
pp. 101-120
Abstract | PDF (192.74 KB)
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
pp. 121-146
Abstract | PDF (1.12 MB)
Persistent Neural States: Stationary Localized Activity Patterns in Nonlinear Continuous n-Population, q-Dimensional Neural Networks
pp. 147-187
Abstract | PDF (7.59 MB)
Generation of Correlated Spike Trains
pp. 188-215
Abstract | PDF (688.62 KB)
Getting to Know Your Neighbors: Unsupervised Learning of Topography from Real-World, Event-Based Input
pp. 216-238
Abstract | PDF (3.02 MB)
Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics
pp. 239-271
Abstract | PDF (4.7 MB)
Prototype Classification: Insights from Machine Learning
pp. 272-300
Abstract | PDF (371.89 KB)