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 6 - June 2021


On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures
pp. 1433-1468
Abstract | PDF (689.54 KB)
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
pp. 1469-1497
Abstract | PDF (723.11 KB)
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients
pp. 1498-1553
Abstract | PDF (3.28 MB)
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?
pp. 1554-1571
Abstract | PDF (523.93 KB)
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks
pp. 1572-1615
Abstract | PDF (3.93 MB)
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation
pp. 1616-1655
Abstract | PDF (1.17 MB)
A Framework of Learning Through Empirical Gain Maximization
pp. 1656-1697
Abstract | PDF (370.85 KB)
Noise Robust Projection Rule for Klein Hopfield Neural Networks
pp. 1698-1716
Abstract | PDF (548.48 KB)
Erratum to “A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation” by Richard Gast, Helmut Schmidt, and Thomas R. Knösche (Neural Computation, September 2020, Vol. 32, No. 9, pp. 1615–1634)
pp. 1717-1717
Abstract | PDF (36.35 KB)