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. 22, Issue 1 - January 2010


How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
pp. 1-47
Abstract | PDF (1.08 MB)
Current Source Density Reconstruction from Incomplete Data
pp. 48-60
Abstract | PDF (554.95 KB)
Spiking Neuron Model for Temporal Sequence Recognition
pp. 61-93
Abstract | PDF (813.93 KB)
Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise
pp. 94-120
Abstract | PDF (529.2 KB)
The Computational Structure of Spike Trains
pp. 121-157
Abstract | PDF (991.03 KB)
On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles
pp. 158-189
Abstract | PDF (583.56 KB)
Visuotactile Representation of Peripersonal Space: A Neural Network Study
pp. 190-243
Abstract | PDF (1.47 MB)
Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
pp. 244-272
Abstract | PDF (340.81 KB)
Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering
pp. 273-288
Abstract | PDF (647.19 KB)