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. 29, Issue 10 - October 2017


Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings
pp. 2581-2632
Abstract | PDF (2.47 MB)
Active Inference, Curiosity and Insight
pp. 2633-2683
Abstract | PDF (1.61 MB)
Memory States and Transitions between Them in Attractor Neural Networks
pp. 2684-2711
Abstract | PDF (456.39 KB)
Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data
pp. 2712-2741
Abstract | PDF (1.4 MB)
Toward an Open-Ended BCI: A User-Centered Coadaptive Design
pp. 2742-2768
Abstract | PDF (965.7 KB)
The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images
pp. 2769-2799
Abstract | PDF (1.05 MB)
Nonconvex Policy Search Using Variational Inequalities
pp. 2800-2824
Abstract | PDF (856.22 KB)
Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective
pp. 2825-2859
Abstract | PDF (1.45 MB)