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» Refractoriness and Neural Precision
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ICANN
2007
Springer
14 years 12 months ago
GARCH Processes with Non-parametric Innovations for Market Risk Estimation
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...
José Miguel Hernández-Lobato, Daniel...
PAA
2000
14 years 10 months ago
On the Initialisation of Sammon's Nonlinear Mapping
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak...
IJCNN
2006
IEEE
15 years 4 months ago
Event modeling of message interchange in stochastic neural ensembles
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
Vicenç Gómez, Andreas Kaltenbrunner,...
ICPR
2002
IEEE
15 years 3 months ago
Contour Features for Colposcopic Image Classification by Artificial Neural Networks
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...
ESANN
2008
14 years 11 months ago
A neural model with feedback for robust disambiguation of motion
Abstract. The aperture problem is a direct consequence of any local detection in the visual perception of motion. It results in ambiguous responses of the local motion detectors. B...
Mauricio Cerda, Bernard Girau