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. 11, Issue 2 - February 15, 1999


A Unifying Review of Linear Gaussian Models
pp. 305-345
Abstract | PDF (287.09 KB)
Implicit Learning in 3D Object Recognition: The Importance of Temporal Context
pp. 347-374
Abstract | PDF (446.79 KB)
Relation Between Retinotopical and Orientation Maps in Visual Cortex
pp. 375-379
Abstract | PDF (63.74 KB)
A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields
pp. 381-416
Abstract | PDF (469.26 KB)
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
pp. 417-441
Abstract | PDF (465.6 KB)
Mixtures of Probabilistic Principal Component Analyzers
pp. 443-482
Abstract | PDF (394.07 KB)
Boosted Mixture of Experts: An Ensemble Learning Scheme
pp. 483-497
Abstract | PDF (124.27 KB)
Boosting Regression Estimators
pp. 499-520
Abstract | PDF (297.45 KB)
An On-Line Agglomerative Clustering Method for Nonstationary Data
pp. 521-540
Abstract | PDF (385.04 KB)
Hidden Neural Networks
pp. 541-563
Abstract | PDF (208.33 KB)