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 4 - April 1, 2000


Minimizing Binding Errors Using Learned Conjunctive Features
pp. 731-762
Abstract | PDF (266.98 KB)
The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures
pp. 763-793
Abstract | PDF (576.8 KB)
Exponential or Polynomial Learning Curves? Case-Based Studies
pp. 795-809
Abstract | PDF (1.46 MB)
Training Feedforward Neural Networks with Gain Constraints
pp. 811-829
Abstract | PDF (3.71 MB)
Variational Learning for Switching State-Space Models
pp. 831-864
Abstract | PDF (946.13 KB)
Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions
pp. 865-880
Abstract | PDF (167.8 KB)
On “Natural” Learning and Pruning in Multilayered Perceptrons
pp. 881-901
Abstract | PDF (2.4 MB)
Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations
pp. 903-931
Abstract | PDF (1.13 MB)
Hierarchical Bayesian Models for Regularization in Sequential Learning
pp. 933-953
Abstract | PDF (3.21 MB)
Sequential Monte Carlo Methods to Train Neural Network Models
pp. 955-993
Abstract | PDF (6.12 MB)