76 citations · 115 across the 13 of their papers we have counts for
3 papers · 1 filter
EEG reconstruction and skull conductivity estimation using a Bayesian model promoting structured sparsity
Facundo Costa, Hadj Batatia, Thomas Oberlin +1
M/EEG source localization is an open research issue. To solve it, it is important to have good knowledge of several physical parameters to build a reliable head operator. Amongst t…
Bayesian Structured Sparsity Priors for EEG Source Localization Technical Report
Facundo Costa, Hadj Batatia, Thomas Oberlin +1
This report introduces a new hierarchical Bayesian model for the EEG source localization problem. This model promotes structured sparsity to search for focal brain activity. This s…
A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling
Lotfi Chaari, Jean-Yves Tourneret, Caroline Chaux +1
Efficient sampling from high-dimensional distributions is a challenging issue which is encountered in many large data recovery problems involving Markov chain Monte Carlo schemes.…