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. 33, Issue 9 - September 2021


A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis
pp. 2309-2352
Abstract | PDF (1.84 MB)
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning
pp. 2353-2407
Abstract | PDF (2.33 MB)
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors
pp. 2408-2438
Abstract | PDF (5.3 MB)
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization
pp. 2439-2472
Abstract | PDF (2.06 MB)
Least kth-Order and Rényi Generative Adversarial Networks
pp. 2473-2510
Abstract | PDF (2.19 MB)
Do Neural Networks for Segmentation Understand Insideness?
pp. 2511-2549
Abstract | PDF (3.27 MB)
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments
pp. 2550-2577
Abstract | PDF (2.14 MB)
Statistical Properties of Color Matching Functions
pp. 2578-2601
Abstract | PDF (674.73 KB)