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 11 - November 2009


On the Maximization of Information Flow Between Spiking Neurons
pp. 2991-3009
Abstract | PDF (274.66 KB)
Cortical Circuitry Implementing Graphical Models
pp. 3010-3056
Abstract | PDF (987.68 KB)
Electrical Coupling Promotes Fidelity of Responses in the Networks of Model Neurons
pp. 3057-3078
Abstract | PDF (341.81 KB)
Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution
pp. 3079-3105
Abstract | PDF (767.43 KB)
Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses
pp. 3106-3129
Abstract | PDF (1.08 MB)
Approximate Learning Algorithm in Boltzmann Machines
pp. 3130-3178
Abstract | PDF (468.29 KB)
Robust Kernel Principal Component Analysis
pp. 3179-3213
Abstract | PDF (1.06 MB)
Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification
pp. 3214-3227
Abstract | PDF (113.78 KB)
Partial Orders of Similarity Differences Invariant Between EEG-Recorded Brain and Perceptual Representations of Language
pp. 3228-3269
Abstract | PDF (903.92 KB)