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General methodology for nonlinear modeling of neural systems with Poisson point-process inputs

โœ Scribed by V.Z. Marmarelis; T.W. Berger

Book ID
116732723
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
301 KB
Volume
196
Category
Article
ISSN
0025-5564

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A novel network for nonlinear modeling o
A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs
โœ Konstantinos Alataris; TheodoreW. Berger; VasilisZ. Marmarelis ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 469 KB

This paper address the issue of nonlinear model estimation for neural systems with arbitrary point-process inputs using a novel network that is composed of a pre-processing stage of a Laguerre filter bank followed by a single hidden layer with polynomial activation functions. The nonlinear modeling