S. Hitziger, M. Clerc, A. Gramfort, S. Saillet, C. Bénar et al., Jitter-adaptive dictionary learningapplication to multi-trial neuroelectric signals. arXiv preprint, 2013.

C. Bénar, T. Papadopoulo, B. Torrésani, and M. Clerc, Consensus Matching Pursuit for multi-trial EEG signals, Journal of Neuroscience Methods, vol.180, issue.1, pp.161-170, 2009.
DOI : 10.1016/j.jneumeth.2009.03.005

K. Knuth, A. Shah, W. Truccolo, M. Ding, S. Bressler et al., Differentially Variable Component Analysis: Identifying Multiple Evoked Components Using Trial-to-Trial Variability, Journal of Neurophysiology, vol.95, issue.5, pp.3257-3276, 2006.
DOI : 10.1152/jn.00663.2005

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression . The Annals of Statistics, pp.407-499, 2004.

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online learning for matrix factorization and sparse coding, J. Mach. Learn. Res, vol.11, pp.19-60, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00408716

P. Durka, A. Matysiak, E. Martinez-montes, P. Sosa, and K. Blinowska, Multichannel matching pursuit and EEG inverse solutions, Journal of Neuroscience Methods, vol.148, issue.1, pp.49-59, 2005.
DOI : 10.1016/j.jneumeth.2005.04.001

R. Henson, D. Wakeman, C. Phillips, and J. Rowe, Effective Connectivity between OFA and FFA during face perception: DCM of evoked MEG, EEG and fMRI, Hum Brain Mapp, 2013.