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. 17, Issue 9 - September 1, 2005


The Cocktail Party Problem
pp. 1875-1902
Abstract | PDF (139.95 KB)
Edgeworth Approximation of Multivariate Differential Entropy
pp. 1903-1910
Abstract | PDF (74.41 KB)
Perfect Fault Tolerance of the n-k-n Network
pp. 1911-1920
Abstract | PDF (91.48 KB)
On the Slow Convergence of EM and VBEM in Low-Noise Linear Models
pp. 1921-1926
Abstract | PDF (76.17 KB)
Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
pp. 1927-1961
Abstract | PDF (741.39 KB)
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population
pp. 1962-2005
Abstract | PDF (268.81 KB)
Fluctuation-Dissipation Theorem and Models of Learning
pp. 2006-2033
Abstract | PDF (194.55 KB)
Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity
pp. 2034-2059
Abstract | PDF (765.14 KB)
Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation
pp. 2060-2076
Abstract | PDF (126.89 KB)
Learning Bounds for Kernel Regression Using Effective Data Dimensionality
pp. 2077-2098
Abstract | PDF (135.67 KB)