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 10 - October 2010


Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking
pp. 2477-2506
Abstract | PDF (1.1 MB)
Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode
pp. 2507-2521
Abstract | PDF (365.28 KB)
Probability of Repeating Patterns in Simultaneous Neural Data
pp. 2522-2536
Abstract | PDF (206.17 KB)
Recording from Two Neurons: Second-Order Stimulus Reconstruction from Spike Trains and Population Coding
pp. 2537-2557
Abstract | PDF (1 MB)
On a Stochastic Leaky Integrate-and-Fire Neuronal Model
pp. 2558-2585
Abstract | PDF (760.53 KB)
Neuronal Population Decoding Explains the Change in Signal Detection Sensitivity Caused by Task-Irrelevant Perceptual Bias
pp. 2586-2614
Abstract | PDF (915.07 KB)
Spiking Neural P Systems with Weights
pp. 2615-2646
Abstract | PDF (586.81 KB)
A New Bidimensional Neural Field Model with Heterogeneous Connection Topology
pp. 2647-2654
Abstract | PDF (159 KB)
Convergence Analysis of Three Classes of Split-Complex Gradient Algorithms for Complex-Valued Recurrent Neural Networks
pp. 2655-2677
Abstract | PDF (765.23 KB)
Large-Margin Classification in Infinite Neural Networks
pp. 2678-2697
Abstract | PDF (371.66 KB)
The MEE Principle in Data Classification: A Perceptron-Based Analysis
pp. 2698-2728
Abstract | PDF (807.9 KB)