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 12 - December 2021


A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks
pp. 3179-3203
Abstract | PDF (5.13 MB)
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks
pp. 3204-3263
Abstract | PDF (1.64 MB)
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models
pp. 3264-3287
Abstract | PDF (1.35 MB)
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model
pp. 3288-3333
Abstract | PDF (1.47 MB)
Simple Convolutional-Based Models: Are They Learning the Task or the Data?
pp. 3334-3350
Abstract | PDF (865.79 KB)
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning
pp. 3351-3360
Abstract | PDF (333.96 KB)
Semisupervised Ordinal Regression Based on Empirical Risk Minimization
pp. 3361-3412
Abstract | PDF (3.71 MB)
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
pp. 3413-3466
Abstract | PDF (3.14 MB)