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 1 - January 2011


Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
pp. 1-45
Abstract | PDF (1.16 MB)
Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains
pp. 46-96
Abstract | PDF (1.02 MB)
Modeling Multivariate Time Series on Manifolds with Skew Radial Basis Functions
pp. 97-123
Abstract | PDF (784.71 KB)
The Mean Time to Express Synaptic Plasticity in Integrate-and-Express, Stochastic Models of Synaptic Plasticity Induction
pp. 124-159
Abstract | PDF (589.78 KB)
A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller
pp. 160-182
Abstract | PDF (443.32 KB)
A Framework for Simulating and Estimating the State and Functional Topology of Complex Dynamic Geometric Networks
pp. 183-214
Abstract | PDF (998.19 KB)
A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection
pp. 215-250
Abstract | PDF (1.35 MB)
Broken Symmetries in a Location-Invariant Word Recognition Network
pp. 251-283
Abstract | PDF (814.08 KB)
Least-Squares Independent Component Analysis
pp. 284-301
Abstract | PDF (432.21 KB)