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 6 - June 2010


Reward-Modulated Hebbian Learning of Decision Making
pp. 1399-1444
Abstract | PDF (922.77 KB)
General Poisson Exact Breakdown of the Mutual Information to Study the Role of Correlations in Populations of Neurons
pp. 1445-1467
Abstract | PDF (323.7 KB)
Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models
pp. 1468-1472
Abstract | PDF (61.53 KB)
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
pp. 1473-1492
Abstract | PDF (671.03 KB)
Timescale-Invariant Pattern Recognition by Feedforward Inhibition and Parallel Signal Processing
pp. 1493-1510
Abstract | PDF (464.79 KB)
Hyperbolically Discounted Temporal Difference Learning
pp. 1511-1527
Abstract | PDF (230.38 KB)
Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations
pp. 1528-1572
Abstract | PDF (848.56 KB)
Bayesian Inference Based on Stationary Fokker-Planck Sampling
pp. 1573-1596
Abstract | PDF (1.47 MB)
Efficient Continuous-Time Asymmetric Hopfield Networks for Memory Retrieval
pp. 1597-1614
Abstract | PDF (159.46 KB)
Learning the Dynamical System Behind Sensory Data
pp. 1615-1645
Abstract | PDF (8.33 MB)
Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior
pp. 1646-1673
Abstract | PDF (474.01 KB)