Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

Overview

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 2 - February 2021

Articles

Learning in Volatile Environments With the Bayes Factor Surprise
pp. 269-340
Abstract | PDF (3.06 MB)
Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals
pp. 341-375
Abstract | PDF (1.06 MB)
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks
pp. 376-397
Abstract | PDF (755.04 KB)
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference
pp. 398-446
Abstract | PDF (1.72 MB)
Whence the Expected Free Energy?
pp. 447-482
Abstract | PDF (285.05 KB)
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
pp. 483-527
Abstract | PDF (3.43 MB)
A Novel Neural Model With Lateral Interaction for Learning Tasks
pp. 528-551
Abstract | PDF (1.11 MB)
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks
pp. 552-562
Abstract | PDF (489.28 KB)