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 5 - May 2021


The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves
pp. 1145-1163
Abstract | PDF (458.35 KB)
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models
pp. 1164-1198
Abstract | PDF (1.3 MB)
Training Spiking Neural Networks in the Strong Coupling Regime
pp. 1199-1233
Abstract | PDF (1.07 MB)
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
pp. 1234-1268
Abstract | PDF (724.29 KB)
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework
pp. 1269-1299
Abstract | PDF (1.4 MB)
Contrastive Similarity Matching for Supervised Learning
pp. 1300-1328
Abstract | PDF (908.41 KB)
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set
pp. 1329-1371
Abstract | PDF (1.51 MB)
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding
pp. 1372-1401
Abstract | PDF (905.23 KB)
Predictive Processing in Cognitive Robotics: A Review
pp. 1402-1432
Abstract | PDF (389.47 KB)