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. 25, Issue 6 - June 2013


Emergence of Optimal Decoding of Population Codes Through STDP
pp. 1371-1407
Abstract | PDF (1.05 MB)
Randomly Connected Networks Have Short Temporal Memory
pp. 1408-1439
Abstract | PDF (753.36 KB)
New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points
pp. 1440-1471
Abstract | PDF (818.04 KB)
A New Supervised Learning Algorithm for Spiking Neurons
pp. 1472-1511
Abstract | PDF (1.42 MB)
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration
pp. 1512-1547
Abstract | PDF (1.22 MB)
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data
pp. 1548-1584
Abstract | PDF (834.59 KB)
Parameter Learning for Alpha Integration
pp. 1585-1604
Abstract | PDF (727.74 KB)
Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders
pp. 1605-1641
Abstract | PDF (925.32 KB)
Simple Neural-Like P Systems for Maximal Independent Set Selection
pp. 1642-1659
Abstract | PDF (516.88 KB)