• Aucun résultat trouvé

Automated rejection and repair of bad trials in MEG/EEG

N/A
N/A
Protected

Academic year: 2021

Partager "Automated rejection and repair of bad trials in MEG/EEG"

Copied!
5
0
0

Texte intégral

Loading

Figure

Fig. 1: Mean cross-validation error as a function of peak-to- peak-to-peak rejection threshold
Fig. 2: A. Histogram of thresholds for subjects in the EEGBCI dataset with auto reject (global) B
Fig. 4: RMSE with no rejection applied, auto reject (global), and RANSAC. Each point represents a subject from the Faces dataset [15]

Références

Documents relatifs

Acute and late adverse events asso- ciated with radical radiation therapy prostate cancer treatment: a system- atic review of clinician and patient toxicity reporting in

For cases where the soil dielectric constant is the most relevant surface parameter, the so called modified cardioid model [Waldteufel et al 2004] extracts optimally the

Résumé : On s’intéresse dans ce mémoire à la modélisation dynamique de la saisie d’objet par une main mécanique articulée non-anthropomorphe à quatre

Genetic evaluations of parents and clones within full-sib families were obtained from the heterogeneous variances model, and from a simpler model assuming variance homogeneity

Public regulation of agri-environmental processes has to cope with two different problems : on the one side, there are asymmetric information between the regulator and the farmers

Human ad ipose t issue macrophages are of an an t i-inf lamma tory pheno type bu t capab le of excess ive pro-inf lamma tory med ia tor produc t ion. The N-CoR-HDAC3

word initial Cs in Georgian considered as complex onsets: results confirm that indeed 2-3C clusters reflect a global, prototypical c-center coordination. however, when speech system

Flour Small-scale flash dryers: issues and challenge..  Artificial drying is