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. 7, Issue 2 - March 1995


Regularization Theory and Neural Networks Architectures
pp. 219-269
Abstract | PDF (2.44 MB)
A Counterexample to Temporal Differences Learning
pp. 270-279
Abstract | PDF (402.61 KB)
New Perceptron Model Using Random Bitstreams
pp. 280-283
Abstract | PDF (175.22 KB)
On the Ordering Conditions for Self-Organizing Maps
pp. 284-289
Abstract | PDF (1.26 MB)
A Simple Competitive Account of Some Response Properties of Visual Neurons in Area MSTd
pp. 290-306
Abstract | PDF (875.17 KB)
Synchrony in Excitatory Neural Networks
pp. 307-337
Abstract | PDF (1.35 MB)
Decorrelated Hebbian Learning for Clustering and Function Approximation
pp. 338-348
Abstract | PDF (544.67 KB)
Identification Using Feedforward Networks
pp. 349-357
Abstract | PDF (470.02 KB)
An HMM/MLP Architecture for Sequence Recognition
pp. 358-369
Abstract | PDF (582.03 KB)
Learning Linear Threshold Approximations Using Perceptrons
pp. 370-379
Abstract | PDF (473.23 KB)
An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane
pp. 380-398
Abstract | PDF (1.06 MB)
The Upward Bias in Measures of Information Derived from Limited Data Samples
pp. 399-407
Abstract | PDF (421.45 KB)
Representation of Similarity in Three-Dimensional Object Discrimination
pp. 408-423
Abstract | PDF (845.42 KB)