MNE software for processing MEG and EEG data, NeuroImage, vol.86, issue.0, pp.446-460, 2014. ,
DOI : 10.1016/j.neuroimage.2013.10.027
The Human Connectome Project: A data acquisition perspective, NeuroImage, vol.62, issue.4, pp.2222-2231, 2012. ,
DOI : 10.1016/j.neuroimage.2012.02.018
FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection, Journal of Neuroscience Methods, vol.192, issue.1, pp.152-162, 2010. ,
DOI : 10.1016/j.jneumeth.2010.07.015
The Riemannian Potato: an automatic and adaptive artifact detection method for online experiments using Riemannian geometry, TOBI Workshop lV, pp.19-20, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00781701
Artifact removal techniques with signal reconstruction, 2015. ,
Detecting and adjusting for artifacts in fMRI time series data, NeuroImage, vol.27, issue.3, pp.624-634, 2005. ,
DOI : 10.1016/j.neuroimage.2005.04.039
The PREP pipeline: standardized preprocessing for large-scale EEG analysis, Frontiers in Neuroinformatics, vol.78, 2015. ,
DOI : 10.3389/fninf.2015.00016
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals, NeuroImage, vol.108, pp.328-342, 2015. ,
DOI : 10.1016/j.neuroimage.2014.12.040
Cross-validation in nonparametric regression with outliers, The Annals of Statistics, vol.33, issue.5, pp.2291-2310, 2005. ,
DOI : 10.1214/009053605000000499
Robust cross-validation score functions with application to weighted least squares support vector machine function estimation, 2003. ,
Interpreting magnetic fields of the brain: minimum norm estimates, Medical & Biological Engineering & Computing, vol.22, issue.1, pp.35-42, 1994. ,
DOI : 10.1007/BF02512476
Spherical splines for scalp potential and current density mapping, Electroencephalography and Clinical Neurophysiology, vol.72, issue.2, pp.184-187, 1989. ,
DOI : 10.1016/0013-4694(89)90180-6
MEG and EEG data analysis with MNE-Python, Frontiers in Neuroscience, vol.7, 2013. ,
DOI : 10.3389/fnins.2013.00267
PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals, Circulation, vol.101, issue.23, pp.215-220, 2000. ,
DOI : 10.1161/01.CIR.101.23.e215
A multi-subject, multi-modal human neuroimaging dataset, Scientific Data, vol.2, 2015. ,
DOI : 10.1088/0031-9155/48/22/002
Sensor noise suppression, Journal of Neuroscience Methods, vol.168, issue.1, pp.195-202, 2008. ,
DOI : 10.1016/j.jneumeth.2007.09.012
Suppression of uncorrelated sensor noise and artifacts in multichannel MEG data, 18th international conference on biomagnetism, p.285, 2012. ,
Extraction of ocular artefacts from EEG using independent component analysis, Electroencephalography and Clinical Neurophysiology, vol.103, issue.3, pp.395-404, 1997. ,
DOI : 10.1016/S0013-4694(97)00042-8
Signal-space projection method for separating MEG or EEG into components, Medical & Biological Engineering & Computing, vol.7, issue.Suppl. A, pp.135-140, 1997. ,
DOI : 10.1007/BF02534144