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. 23, Issue 5 - May 2011


Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems
pp. 1071-1132
Abstract | PDF (1.2 MB)
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks
pp. 1133-1186
Abstract | PDF (812 KB)
On the Performance of Voltage Stepping for the Simulation of Adaptive, Nonlinear Integrate-and-Fire Neuronal Networks
pp. 1187-1204
Abstract | PDF (346.35 KB)
Detection of Hidden Structures in Nonstationary Spike Trains
pp. 1205-1233
Abstract | PDF (940.16 KB)
The Dynamics of Integrate-and-Fire: Mean Versus Variance Modulations and Dependence on Baseline Parameters
pp. 1234-1247
Abstract | PDF (288.86 KB)
Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field
pp. 1248-1260
Abstract | PDF (457.66 KB)
Mechanisms That Modulate the Transfer of Spiking Correlations
pp. 1261-1305
Abstract | PDF (1.08 MB)
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
pp. 1306-1319
Abstract | PDF (171.65 KB)
Time-Free Spiking Neural P Systems
pp. 1320-1342
Abstract | PDF (639.52 KB)
Divergence-Based Vector Quantization
pp. 1343-1392
Abstract | PDF (1.14 MB)