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. 28, Issue 1 - January 2016


Neural Network Spectral Robustness under Perturbations of the Underlying Graph
pp. 1-44
Abstract | PDF (1.78 MB)
Sequential Tests for Large-Scale Learning
pp. 45-70
Abstract | PDF (1.03 MB)
A Note on Support Vector Machines with Polynomial Kernels
pp. 71-88
Abstract | PDF (159.85 KB)
Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber’s Law
pp. 89-117
Abstract | PDF (1.21 MB)
Efficient Associative Computation with Discrete Synapses
pp. 118-186
Abstract | PDF (2.26 MB)
Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition
pp. 187-215
Abstract | PDF (1.66 MB)
An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification
pp. 216-228
Abstract | PDF (773.53 KB)
Global Exponential Stability of Cohen-Grossberg Neural Networks with Piecewise Constant Argument of Generalized Type and Impulses
pp. 229-255
Abstract | PDF (210.98 KB)