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 2 - February 2022


Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons
pp. 291-306
Abstract | PDF (363.23 KB)
A Normative Account of Confirmation Bias During Reinforcement Learning
pp. 307-337
Abstract | PDF (4.66 MB)
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience
pp. 338-359
Abstract | PDF (1.11 MB)
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment
pp. 360-377
Abstract | PDF (1.76 MB)
A Neurodynamic Model of Saliency Prediction in V1
pp. 378-414
Abstract | PDF (19.8 MB)
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity
pp. 415-436
Abstract | PDF (9.28 MB)
Categorical Perception: A Groundwork for Deep Learning
pp. 437-475
Abstract | PDF (2.7 MB)
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality
pp. 476-517
Abstract | PDF (1.7 MB)
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations
pp. 518-540
Abstract | PDF (3.64 MB)