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» Neural Model Identification Using Local Robustness Analysis
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FUZZY
2001
Springer
139views Fuzzy Logic» more  FUZZY 2001»
13 years 8 months ago
Neural Model Identification Using Local Robustness Analysis
Héctor Allende, Claudio Moraga, Rodrigo Sal...
DAGM
2006
Springer
13 years 8 months ago
Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity
Independent Component Analysis (ICA) is a frequently used preprocessing step in source localization of MEG and EEG data. By decomposing the measured data into maximally independent...
Peter Breun, Moritz Grosse-Wentrup, Wolfgang Utsch...
SIAMADS
2010
122views more  SIAMADS 2010»
12 years 11 months ago
Local/Global Analysis of the Stationary Solutions of Some Neural Field Equations
Neural or cortical fields are continuous assemblies of mesoscopic models, also called neural masses, of neural populations that are fundamental in the modeling of macroscopic parts...
Romain Veltz, Olivier D. Faugeras
CDC
2010
IEEE
12 years 11 months ago
Thermal building model identification using time-scaled identification methods
The aim of this paper is to propose a robust and accurate method for the parametric identification of the thermal behaviour of low consumption buildings. These buildings are known ...
Paul Malisani, Francois Chaplais, Nicolas Petit, D...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 4 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic