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. 9, Issue 2 - February 15, 1997


Probabilistic Independence Networks for Hidden Markov Probability Models
pp. 227-269
Abstract | PDF (419.69 KB)
Using Expectation-Maximization for Reinforcement Learning
pp. 271-278
Abstract | PDF (133.76 KB)
Fast Sigmoidal Networks via Spiking Neurons
pp. 279-304
Abstract | PDF (727.46 KB)
Computing with the Leaky Integrate-and-Fire Neuron: Logarithmic Computation and Multiplication
pp. 305-318
Abstract | PDF (223.37 KB)
Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron
pp. 319-336
Abstract | PDF (268.44 KB)
Shattering All Sets of ‘k’ Points in “General Position” Requires (k — 1)/2 Parameters
pp. 337-348
Abstract | PDF (153.25 KB)
Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions
pp. 349-368
Abstract | PDF (164.6 KB)
Bias/Variance Analyses of Mixtures-of-Experts Architectures
pp. 369-383
Abstract | PDF (183.05 KB)
The Behavior of Forgetting Learning in Bidirectional Associative Memory
pp. 385-401
Abstract | PDF (239.52 KB)
Adaptive Encoding Strongly Improves Function Approximation with CMAC
pp. 403-417
Abstract | PDF (281.91 KB)
An Analog Memory Circuit for Spiking Silicon Neurons
pp. 419-440
Abstract | PDF (309.32 KB)
Average-Case Learning Curves for Radial Basis Function Networks
pp. 441-460
Abstract | PDF (159.59 KB)
A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks
pp. 461-478
Abstract | PDF (319.78 KB)