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. 21, Issue 7 - July 2009


Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States
pp. 1797-1862
Abstract | PDF (2.08 MB)
Maximally Reliable Markov Chains Under Energy Constraints
pp. 1863-1912
Abstract | PDF (2.12 MB)
Generalization of the Event-Based Carnevale-Hines Integration Scheme for Integrate-and-Fire Models
pp. 1913-1930
Abstract | PDF (168.68 KB)
Estimating Instantaneous Irregularity of Neuronal Firing
pp. 1931-1951
Abstract | PDF (361.2 KB)
Combining Feature- and Correspondence-Based Methods for Visual Object Recognition
pp. 1952-1989
Abstract | PDF (1.29 MB)
Stochastic Variance Models in Discrete Time with Feedforward Neural Networks
pp. 1990-2008
Abstract | PDF (998.93 KB)
An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching
pp. 2009-2027
Abstract | PDF (1.73 MB)
Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming
pp. 2028-2048
Abstract | PDF (131.67 KB)
A Multiclass Classification Method Based on Decoding of Binary Classifiers
pp. 2049-2081
Abstract | PDF (219.95 KB)
Validation-Based Sparse Gaussian Process Classifier Design
pp. 2082-2103
Abstract | PDF (219.32 KB)