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. 6, Issue 5 - September 1994


A Bayesian Analysis of Self-Organizing Maps
pp. 767-794
Abstract | PDF (1.15 MB)
Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials
pp. 795-836
Abstract | PDF (2.94 MB)
Statistical Analysis of an Autoassociative Memory Network
pp. 837-841
Abstract | PDF (183.99 KB)
Loading Deep Networks Is Hard
pp. 842-850
Abstract | PDF (419.68 KB)
Measuring the VC-Dimension of a Learning Machine
pp. 851-876
Abstract | PDF (908.58 KB)
Neural Nets with Superlinear VC-Dimension
pp. 877-884
Abstract | PDF (438.02 KB)
A Novel Design Method for Multilayer Feedforward Neural Networks
pp. 885-901
Abstract | PDF (769.02 KB)
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network
pp. 902-915
Abstract | PDF (711.28 KB)
On Langevin Updating in Multilayer Perceptrons
pp. 916-926
Abstract | PDF (623.42 KB)
Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neural Classifiers
pp. 927-943
Abstract | PDF (727.22 KB)
Realization of the “Weak Rod” by a Double Layer Parallel Network
pp. 944-956
Abstract | PDF (480.63 KB)
Learning in Neural Networks with Material Synapses
pp. 957-982
Abstract | PDF (1.09 MB)
Model Based on Extracellular Potassium for Spontaneous Synchronous Activity in Developing Retinas
pp. 983-1004
Abstract | PDF (1.48 MB)
Bayesian Modeling and Classification of Neural Signals
pp. 1005-1030
Abstract | PDF (1.2 MB)