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. 32, Issue 1 - January 2020


Toward Training Recurrent Neural Networks for Lifelong Learning
pp. 1-35
Abstract | PDF (1.37 MB)
A Continuous-Time Analysis of Distributed Stochastic Gradient
pp. 36-96
Abstract | PDF (4.43 MB)
On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation
pp. 97-135
Abstract | PDF (622.04 KB)
Storing Object-Dependent Sparse Codes in a Willshaw Associative Network
pp. 136-152
Abstract | PDF (817.82 KB)
A Robust Model of Gated Working Memory
pp. 153-181
Abstract | PDF (1.56 MB)
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification
pp. 182-204
Abstract | PDF (1.33 MB)
Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory
pp. 205-260
Abstract | PDF (4.23 MB)
Optimal Sampling of Parametric Families: Implications for Machine Learning
pp. 261-279
Abstract | PDF (563.28 KB)