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. 11, Issue 4 - May 15, 1999


Independent Factor Analysis
pp. 803-851
Abstract | PDF (530.04 KB)
A Fast, Compact Approximation of the Exponential Function
pp. 853-862
Abstract | PDF (182.95 KB)
On Cross Validation for Model Selection
pp. 863-870
Abstract | PDF (134.03 KB)
Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output
pp. 871-901
Abstract | PDF (402.12 KB)
Dynamic Stochastic Synapses as Computational Units
pp. 903-917
Abstract | PDF (223.45 KB)
Spatiotemporal Coding in the Cortex: Information Flow-Based Learning in Spiking Neural Networks
pp. 919-934
Abstract | PDF (190.12 KB)
The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex
pp. 935-951
Abstract | PDF (346.82 KB)
Random Neural Networks with Multiple Classes of Signals
pp. 953-963
Abstract | PDF (176.1 KB)
An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment
pp. 965-976
Abstract | PDF (211.12 KB)
Pruning Using Parameter and Neuronal Metrics
pp. 977-993
Abstract | PDF (196.01 KB)
No Free Lunch for Early Stopping
pp. 995-1009
Abstract | PDF (175.57 KB)
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach
pp. 1011-1034
Abstract | PDF (218.32 KB)