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 4 - April 2017


Unifying Adversarial Training Algorithms with Data Gradient Regularization
pp. 867-887
Abstract | PDF (464.36 KB)
Information Maximization Explains the Sparseness of Presynaptic Neural Response
pp. 888-896
Abstract | PDF (259.05 KB)
On the Dynamical Interplay of Positive and Negative Affects
pp. 897-936
Abstract | PDF (2.48 MB)
Evolving Network Model That Almost Regenerates Epileptic Data
pp. 937-967
Abstract | PDF (2.37 MB)
Multiway Array Decomposition of EEG Spectrum: Implications of Its Stability for the Exploration of Large-Scale Brain Networks
pp. 968-989
Abstract | PDF (686.13 KB)
Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data
pp. 990-1020
Abstract | PDF (1.93 MB)
An in Silico, Biomarker-Based Method for the Evaluation of Virtual Neuropsychiatric Drug Effects
pp. 1021-1052
Abstract | PDF (389.87 KB)
Semisupervised, Multilabel, Multi-Instance Learning for Structured Data
pp. 1053-1102
Abstract | PDF (3.82 MB)
Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search
pp. 1103-1123
Abstract | PDF (1009.23 KB)
Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction
pp. 1124-1150
Abstract | PDF (1.07 MB)