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. 30, Issue 3 - March 2018


Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells
pp. 569-609
Abstract | PDF (1.54 MB)
Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution
pp. 610-630
Abstract | PDF (815.66 KB)
Learning Midlevel Auditory Codes from Natural Sound Statistics
pp. 631-669
Abstract | PDF (2.4 MB)
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
pp. 670-707
Abstract | PDF (2.99 MB)
Indistinguishable Synapses Lead to Sparse Networks
pp. 708-722
Abstract | PDF (494.86 KB)
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis
pp. 723-760
Abstract | PDF (1.69 MB)
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes
pp. 761-791
Abstract | PDF (1.14 MB)
Quantifying Strength of Chaos in the Population Firing Rate of Neurons
pp. 792-819
Abstract | PDF (1.04 MB)
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory
pp. 820-855
Abstract | PDF (984.81 KB)