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. 31, Issue 9 - September 2019

Articles

Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach
pp. 1751-1788
Abstract | PDF (1.22 MB)
Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks
pp. 1789-1824
Abstract | PDF (1.42 MB)
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
pp. 1825-1852
Abstract | PDF (954.67 KB)
A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons
pp. 1853-1873
Abstract | PDF (1.19 MB)
Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method
pp. 1874-1890
Abstract | PDF (418.11 KB)
Supervised Determined Source Separation with Multichannel Variational Autoencoder
pp. 1891-1914
Abstract | PDF (1.09 MB)