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. 12, Issue 6 - June 1, 2000


Separating Style and Content with Bilinear Models
pp. 1247-1283
Abstract | PDF (1.08 MB)
Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters
pp. 1285-1292
Abstract | PDF (133.55 KB)
The VC Dimension for Mixtures of Binary Classifiers
pp. 1293-1301
Abstract | PDF (145.58 KB)
The Early Restart Algorithm
pp. 1303-1312
Abstract | PDF (176.92 KB)
Attractor Dynamics in Feedforward Neural Networks
pp. 1313-1335
Abstract | PDF (231.81 KB)
Visualizing the Function Computed by a Feedforward Neural Network
pp. 1337-1353
Abstract | PDF (1.08 MB)
Discriminant Pattern Recognition Using Transformation-Invariant Neurons
pp. 1355-1370
Abstract | PDF (1.33 MB)
Observable Operator Models for Discrete Stochastic Time Series
pp. 1371-1398
Abstract | PDF (330.32 KB)
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons
pp. 1399-1409
Abstract | PDF (209.79 KB)
Nonmonotonic Generalization Bias of Gaussian Mixture Models
pp. 1411-1427
Abstract | PDF (301.25 KB)
Efficient Block Training of Multilayer Perceptrons
pp. 1429-1447
Abstract | PDF (1.14 MB)
An Optimization Approach to Design of Generalized BSB Neural Associative Memories
pp. 1449-1462
Abstract | PDF (189.63 KB)
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation
pp. 1463-1484
Abstract | PDF (1.06 MB)