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 2 - March 1994


Hierarchical Mixtures of Experts and the EM Algorithm
pp. 181-214
Abstract | PDF (1.47 MB)
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
pp. 215-219
Abstract | PDF (264.04 KB)
Correlated Attractors from Uncorrelated Stimuli
pp. 220-224
Abstract | PDF (169.55 KB)
Learning of Phase Lags in Coupled Neural Oscillators
pp. 225-241
Abstract | PDF (783.86 KB)
A Mechanism for Neuronal Gain Control by Descending Pathways
pp. 242-254
Abstract | PDF (692.67 KB)
The Role of Weight Normalization in Competitive Learning
pp. 255-269
Abstract | PDF (594.11 KB)
A Probabilistic Resource Allocating Network for Novelty Detection
pp. 270-284
Abstract | PDF (612.07 KB)
Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima
pp. 285-295
Abstract | PDF (518.04 KB)
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity
pp. 296-306
Abstract | PDF (459.57 KB)
Smooth On-Line Learning Algorithms for Hidden Markov Models
pp. 307-318
Abstract | PDF (593.4 KB)
On Functional Approximation with Normalized Gaussian Units
pp. 319-333
Abstract | PDF (613.4 KB)
Statistical Physics, Mixtures of Distributions, and the EM Algorithm
pp. 334-340
Abstract | PDF (311.51 KB)