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 8 - August 2010


A Spiking Neuron as Information Bottleneck
pp. 1961-1992
Abstract | PDF (689.55 KB)
Estimating a State-Space Model from Point Process Observations: A Note on Convergence
pp. 1993-2001
Abstract | PDF (214.01 KB)
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes
pp. 2002-2030
Abstract | PDF (1.27 MB)
How Synaptic Release Probability Shapes Neuronal Transmission: Information-Theoretic Analysis in a Cerebellar Granule Cell
pp. 2031-2058
Abstract | PDF (3.51 MB)
Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
pp. 2059-2085
Abstract | PDF (442.02 KB)
Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites
pp. 2086-2112
Abstract | PDF (1.13 MB)
Spectral Method and High-Order Finite Differences for the Nonlinear Cable Equation
pp. 2113-2136
Abstract | PDF (435.17 KB)
Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons
pp. 2137-2160
Abstract | PDF (673.88 KB)
Modeling Stereopsis via Markov Random Field
pp. 2161-2191
Abstract | PDF (586.16 KB)
Deep Belief Networks Are Compact Universal Approximators
pp. 2192-2207
Abstract | PDF (220.25 KB)
Sample-Spacings-Based Density and Entropy Estimators for Spherically Invariant Multidimensional Data
pp. 2208-2227
Abstract | PDF (1.47 MB)