Fast, variation-based methods for the analysis of extended brain sources, Proc. of EUSIPCO, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01012083
A performance study of various brain source imaging approaches, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014. ,
DOI : 10.1109/ICASSP.2014.6854729
URL : https://hal.archives-ouvertes.fr/hal-00990273
Brain-Source Imaging: From sparse to tensor models, IEEE Signal Processing Magazine, vol.32, issue.6, pp.100-112, 2015. ,
DOI : 10.1109/MSP.2015.2413711
URL : https://hal.archives-ouvertes.fr/hal-01190559
EEG extended source localization: Tensor-based vs. conventional methods, NeuroImage, vol.96, pp.143-157, 2014. ,
DOI : 10.1016/j.neuroimage.2014.03.043
URL : https://hal.archives-ouvertes.fr/hal-01011856
Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach, NeuroImage, vol.56, issue.1, pp.102-113, 2011. ,
DOI : 10.1016/j.neuroimage.2011.01.054
URL : https://hal.archives-ouvertes.fr/inserm-00588305
Space???time event sparse penalization for magneto-/electroencephalography, NeuroImage, vol.46, issue.4, pp.1066-1081, 2009. ,
DOI : 10.1016/j.neuroimage.2009.01.056
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends?? in Machine Learning, vol.3, issue.1, pp.1-122, 2010. ,
DOI : 10.1561/2200000016
Convex optimization, 2004. ,
Spatially sparse source cluster modeling by compressive neuromagnetic tomography, NeuroImage, vol.53, issue.1, 2010. ,
DOI : 10.1016/j.neuroimage.2010.05.013
MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches, PLoS ONE, vol.2011, issue.2, pp.1-9, 2013. ,
DOI : 10.1371/journal.pone.0055969.s004
A proximal decomposition method for solving convex variational inverse problems, Inverse Problems, vol.24, issue.6, 2008. ,
DOI : 10.1088/0266-5611/24/6/065014
URL : https://hal.archives-ouvertes.fr/hal-00692901
Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach, Journal of Cognitive Neuroscience, vol.14, issue.2, pp.162-176, 1993. ,
DOI : 10.1007/BF02442317
Reconstructing cortical current density by exploring sparseness in the transform domain, Physics in Medicine and Biology, vol.54, issue.9, pp.2683-2697, 2009. ,
DOI : 10.1088/0031-9155/54/9/006
Magnetoencephalography/Magnetic Source Imaging in the Assessment of Patients with Epilepsy, Epilepsia, vol.34, issue.s4, pp.1-5, 1997. ,
DOI : 10.1016/0896-6974(95)00021-5
Multiple sparse priors for the M/EEG inverse problem, NeuroImage, vol.39, issue.3, pp.1104-1120, 2008. ,
DOI : 10.1016/j.neuroimage.2007.09.048
A dual algorithm for the solution of nonlinear variational problems via finite element approximation, Computers & Mathematics with Applications, vol.2, issue.1, pp.17-40, 1976. ,
DOI : 10.1016/0898-1221(76)90003-1
Electric Source Imaging in Frontal Lobe Epilepsy, Journal of Clinical Neurophysiology, vol.23, issue.4, pp.358-370, 2006. ,
DOI : 10.1097/01.wnp.0000214588.94843.c2
Sur l'approximation, parélémentsparéléments finis d'ordre un, et la résolution, par pénalisation-dualité, d'une classe de formatique, Recherche Opérationelle, vol.9, pp.41-76, 1975. ,
Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision, 2009. ,
URL : https://hal.archives-ouvertes.fr/tel-00426852
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, Physics in Medicine and Biology, vol.57, issue.7, pp.1937-1961, 2012. ,
DOI : 10.1088/0031-9155/57/7/1937
URL : https://hal.archives-ouvertes.fr/hal-00690774
OpenMEEG: opensource software for quasi static bioelectromagnetics, BioMedical Engineering OnLine, vol.45, issue.9, 2010. ,
Identifying Predictive Regions from fMRI with TV-L1 Prior, 2013 International Workshop on Pattern Recognition in Neuroimaging, 2013. ,
DOI : 10.1109/PRNI.2013.14
URL : https://hal.archives-ouvertes.fr/hal-00839984
Review on solving the inverse problem in EEG source analysis, Journal of NeuroEngineering and Rehabilitation, vol.5, issue.1, 2008. ,
DOI : 10.1186/1743-0003-5-25
A common formalism for the Integral formulations of the forward EEG problem, IEEE Transactions on Medical Imaging, vol.24, issue.1, pp.12-28, 2005. ,
DOI : 10.1109/TMI.2004.837363
Cortical patch basis model for spatially extended neural activity, IEEE Transactions on Biomedical Engineering, vol.53, issue.9, pp.1740-1754, 2006. ,
DOI : 10.1109/TBME.2006.873743
An efficient algorithm for compressed mr imaging using total variation and wavelets, IEEE Proc. of CVPR, pp.1-8, 2008. ,
Reliability of dipole models of epileptic spikes, Clinical Neurophysiology, vol.110, issue.6, pp.1013-1028, 1999. ,
DOI : 10.1016/S1388-2457(98)00062-5
Simultaneous Recording of Epileptiform Discharges by MEG and Subdural Electrodes in Temporal Lobe Epilepsy, NeuroImage, vol.5, issue.4, pp.298-306, 1997. ,
DOI : 10.1006/nimg.1997.0272
Fonctions convexes duales et points proximaux dans un espace hilbertien, CR Acad. Sci. Paris Sér. A Math, vol.255, pp.2897-2899, 1962. ,
Epileptic Spikes: Magnetoencephalography versus Simultaneous Electrocorticography, Epilepsia, vol.19, issue.suppl 3, pp.1390-1395, 2002. ,
DOI : 10.1212/WNL.38.5.778
A distributed spatio-temporal EEG/MEG inverse solver, NeuroImage, vol.44, 2009. ,
Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain, International Journal of Psychophysiology, vol.18, issue.1, pp.49-65, 1994. ,
DOI : 10.1016/0167-8760(84)90014-X
Feasibility and limitations of magnetoencephalographic detection of epileptic discharges: Simultaneous recording of magnetic fields and electrocorticography, Neurological Research, vol.24, issue.6, pp.531-536, 2002. ,
DOI : 10.1109/10.245606
Intracranial EEG Substrates of Scalp EEG Interictal Spikes, Epilepsia, vol.60, issue.5, pp.669-676, 2005. ,
DOI : 10.1212/WNL.60.3.357
Sparsity and smoothness via the fused lasso, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.99, issue.1, pp.91-108, 2005. ,
DOI : 10.1016/S0140-6736(02)07746-2
Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, pp.583-598, 1991. ,
DOI : 10.1109/34.87344
Smooth reconstruction of cortical sources from EEG or MEG recordings, NeuroImage, vol.3, issue.3, p.168, 1996. ,
DOI : 10.1016/S1053-8119(96)80170-4
A unified Bayesian framework for MEG/EEG source imaging, NeuroImage, vol.44, issue.3, pp.947-966, 2009. ,
DOI : 10.1016/j.neuroimage.2008.02.059
Evaluation of different cortical source localization methods using simulated and experimental EEG data, NeuroImage, vol.25, issue.2, pp.369-382, 2005. ,
DOI : 10.1016/j.neuroimage.2004.11.036
Reconstructing spatially extended brain sources via enforcing multiple transform sparseness, NeuroImage, vol.86, pp.280-293, 2014. ,
DOI : 10.1016/j.neuroimage.2013.09.070