Computational methods for inverse problems, Siam, vol.23, 2002. ,
DOI : 10.1137/1.9780898717570
A performance study of various brain source imaging approaches, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5869-5873, 2014. ,
DOI : 10.1109/ICASSP.2014.6854729
URL : https://hal.archives-ouvertes.fr/hal-00990273
EEG-fMRI INTEGRATION: A CRITICAL REVIEW OF BIOPHYSICAL MODELING AND DATA ANALYSIS APPROACHES, Journal of Integrative Neuroscience, vol.3, issue.04, pp.453-476, 2010. ,
DOI : 10.1038/nn980
Tensor Analysis and Fusion of Multimodal Brain Images, Proceedings of the IEEE, vol.103, issue.9, pp.1531-1559, 2015. ,
DOI : 10.1109/JPROC.2015.2455028
Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization, NeuroImage, vol.44, issue.2, pp.411-420, 2009. ,
DOI : 10.1016/j.neuroimage.2008.08.043
Analysis of the EEG???fMRI response to prolonged bursts of interictal epileptiform activity, NeuroImage, vol.24, issue.4, pp.1099-1112, 2005. ,
DOI : 10.1016/j.neuroimage.2004.10.010
Joint independent component analysis for simultaneous EEG???fMRI: Principle and simulation, International Journal of Psychophysiology, vol.67, issue.3, pp.212-221, 2008. ,
DOI : 10.1016/j.ijpsycho.2007.05.016
URL : http://europepmc.org/articles/pmc2649876?pdf=render
EEG-fMRI Fusion of Paradigm-Free Activity Using Kalman Filtering, Neural Computation, vol.3, issue.2, pp.906-948, 2010. ,
DOI : 10.1016/j.neuroimage.2005.06.042
Neurophysiological investigation of the basis of the fMRI signal, Nature, vol.29, issue.6843, pp.150-157, 2001. ,
DOI : 10.1002/mrm.1910290613
Integrated MEG/EEG and fMRI model based on neural masses, IEEE Transactions on Biomedical Engineering, vol.53, issue.9, pp.1794-1801, 2006. ,
DOI : 10.1109/TBME.2006.873748
Symmetrical EEG-FMRI imaging by sparse regularization, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.1870-1874, 2015. ,
DOI : 10.1109/EUSIPCO.2015.7362708
URL : https://hal.archives-ouvertes.fr/hal-01170889
Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics, NeuroImage, vol.12, issue.4, pp.466-477, 2000. ,
DOI : 10.1006/nimg.2000.0630
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009. ,
DOI : 10.1137/080716542
URL : http://ie.technion.ac.il/%7Ebecka/papers/finalicassp2009.pdf
Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005. ,
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649
A fast method for forward computation of multiple-shell spherical head models, Electroencephalography and Clinical Neurophysiology, vol.90, issue.1, pp.58-64, 1994. ,
DOI : 10.1016/0013-4694(94)90113-9
Brain Source Localization Using a Fourth-Order Deflation Scheme, IEEE Transactions on Biomedical Engineering, vol.55, issue.2, pp.490-501, 2008. ,
DOI : 10.1109/TBME.2007.905408
URL : https://hal.archives-ouvertes.fr/inserm-00255994
Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach, Frontiers in Human Neuroscience, vol.5, issue.28, 2011. ,
DOI : 10.3389/fnhum.2011.00028