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. 34, Issue 1 - January 2022


Predictive Coding, Variational Autoencoders, and Biological Connections
pp. 1-44
Abstract | PDF (3.25 MB)
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task
pp. 45-77
Abstract | PDF (5.47 MB)
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns
pp. 78-103
Abstract | PDF (3.08 MB)
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding
pp. 104-137
Abstract | PDF (9.03 MB)
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks
pp. 138-171
Abstract | PDF (3.28 MB)
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics
pp. 172-189
Abstract | PDF (2.48 MB)
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations
pp. 190-218
Abstract | PDF (1.63 MB)
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size
pp. 219-254
Abstract | PDF (3.59 MB)
Neural Networks With Disabilities: An Introduction to Complementary Artificial Intelligence
pp. 255-290
Abstract | PDF (13.73 MB)