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 5 - May 2009


Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness
pp. 1203-1243
Abstract | PDF (1.69 MB)
A Rate and History-Preserving Resampling Algorithm for Neural Spike Trains
pp. 1244-1258
Abstract | PDF (155.74 KB)
Competitive STDP-Based Spike Pattern Learning
pp. 1259-1276
Abstract | PDF (1.52 MB)
Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration
pp. 1277-1320
Abstract | PDF (1.06 MB)
Increasing Memory Capacity and Reducing Spurious States in Neural Networks by Introducing Coherent and Collective Firing
pp. 1321-1334
Abstract | PDF (125.89 KB)
A Computational Model for Rhythmic and Discrete Movements in Uni- and Bimanual Coordination
pp. 1335-1370
Abstract | PDF (612.52 KB)
Redundancy, Self-Motion, and Motor Control
pp. 1371-1414
Abstract | PDF (1.16 MB)
A Geometric Newton Method for Oja's Vector Field
pp. 1415-1433
Abstract | PDF (153.92 KB)
Analysis of Complete Stability for Discrete-Time Cellular Neural Networks with Piecewise Linear Output Functions
pp. 1434-1458
Abstract | PDF (163.28 KB)
Theory and Algorithm for Learning with Dissimilarity Functions
pp. 1459-1484
Abstract | PDF (540.62 KB)