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. 21, Issue 2 - February 2009


A Spiking Neural Network Model of an Actor-Critic Learning Agent
pp. 301-339
Abstract | PDF (321.5 KB)
A Gradient Learning Rule for the Tempotron
pp. 340-352
Abstract | PDF (257.37 KB)
Simplicity and Efficiency of Integrate-and-Fire Neuron Models
pp. 353-359
Abstract | PDF (59.06 KB)
Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
pp. 360-396
Abstract | PDF (1.84 MB)
Generating Spike Trains with Specified Correlation Coefficients
pp. 397-423
Abstract | PDF (752.82 KB)
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing
pp. 424-449
Abstract | PDF (253.74 KB)
Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach
pp. 450-477
Abstract | PDF (998.56 KB)
State-Dependent Computation Using Coupled Recurrent Networks
pp. 478-509
Abstract | PDF (2.37 MB)
The Problem of Rapid Variable Creation
pp. 510-532
Abstract | PDF (172.36 KB)
Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
pp. 533-559
Abstract | PDF (1.09 MB)
Arbitrary Norm Support Vector Machines
pp. 560-582
Abstract | PDF (809.87 KB)
Sequential Triangle Strip Generator Based on Hopfield Networks
pp. 583-617
Abstract | PDF (692.61 KB)