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. 13, Issue 9 - September 1, 2001


Modeling Neuronal Assemblies: Theory and Implementation
pp. 1923-1974
Abstract | PDF (442.79 KB)
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
pp. 1975-1994
Abstract | PDF (323.35 KB)
Extraction of Specific Signals with Temporal Structure
pp. 1995-2003
Abstract | PDF (290.55 KB)
Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
pp. 2005-2029
Abstract | PDF (368.25 KB)
Attention Modulation of Neural Tuning Through Peak and Base Rate
pp. 2031-2047
Abstract | PDF (197.79 KB)
Democratic Integration: Self-Organized Integration of Adaptive Cues
pp. 2049-2074
Abstract | PDF (218.05 KB)
An Autoassociative Neural Network Model of Paired-Associate Learning
pp. 2075-2092
Abstract | PDF (182.21 KB)
Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
pp. 2093-2118
Abstract | PDF (233.51 KB)
Training v-Support Vector Classifiers: Theory and Algorithms
pp. 2119-2147
Abstract | PDF (216.56 KB)
A Tighter Bound for Graphical Models
pp. 2149-2171
Abstract | PDF (787.13 KB)