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. 16, Issue 1 - January 1, 2004


Bayesian Computation in Recurrent Neural Circuits
pp. 1-38
Abstract | PDF (3.99 MB)
Probability of Stimulus Detection in a Model Population of Rapidly Adapting Fibers
pp. 39-58
Abstract | PDF (4.22 MB)
A Machine Learning Method for Extracting Symbolic Knowledge from Recurrent Neural Networks
pp. 59-71
Abstract | PDF (78.05 KB)
Orthogonality of Decision Boundaries in Complex-Valued Neural Networks
pp. 73-97
Abstract | PDF (1.21 MB)
On the Asymptotic Distribution of the Least-Squares Estimators in Unidentifiable Models
pp. 99-114
Abstract | PDF (123.66 KB)
Asymptotic Properties of the Fisher Kernel
pp. 115-137
Abstract | PDF (140.51 KB)
Adaptive Hybrid Learning for Neural Networks
pp. 139-157
Abstract | PDF (1.41 MB)
Divergence Function, Duality, and Convex Analysis
pp. 159-195
Abstract | PDF (202.19 KB)
Linear Response Algorithms for Approximate Inference in Graphical Models
pp. 197-221
Abstract | PDF (188.47 KB)