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. 26, Issue 6 - June 2014


A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding
pp. 999-1054
Abstract | PDF (656.19 KB)
Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks
pp. 1055-1079
Abstract | PDF (217.02 KB)
Neural Decoding with Kernel-Based Metric Learning
pp. 1080-1107
Abstract | PDF (627.47 KB)
Adaptive Multiclass Classification for Brain Computer Interfaces
pp. 1108-1127
Abstract | PDF (803.46 KB)
On Nonnegative Matrix Factorization Algorithms for Signal-Dependent Noise with Application to Electromyography Data
pp. 1128-1168
Abstract | PDF (4.57 MB)
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
pp. 1169-1197
Abstract | PDF (1.78 MB)
Short-Term Memory Capacity in Networks via the Restricted Isometry Property
pp. 1198-1235
Abstract | PDF (655.4 KB)
Errata to “Bayesian Community Detection” (Neural Computation, Sept. 2012, Vol. 24, No. 9:2434–2456)
pp. 1236-1237
Abstract | PDF (37.56 KB)