• Aucun résultat trouvé

Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates

N/A
N/A
Protected

Academic year: 2021

Partager "Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates"

Copied!
14
0
0

Texte intégral

Loading

Figure

Fig. 1. Left: 3 labels from the aparc.a2009s parcellation.
Fig. 3. Support of source estimates. Each color corresponds to a subject. Different radiuses are displayed for a better distinction of sources
Fig. 4. Ratio of maximum absolute amplitude in the fusiform gyrus over maxi- maxi-mum absolute amplitude in the hemisphere

Références

Documents relatifs

We demonstrate that the corresponding misfit function can be computed through the solution of series of linear sum assignment problem (LSAP), while, based on the adjoint

In this paper, we investigate the condition number for the so-called truncated singular value de- composition (TSVD) solution to linear least squares problems.. TSVD solutions arise

If Oracle1 and Oracle2 cannot be used in practice (because they are based on unknown information on the actual sources), it is noteworthy that REST-like solutions (either based on

[r]

Recently [13, 36], a new approach involving only pointwise observation of the solution ypx, tq has been applied to obtain uniqueness results in several inverse parabolic

in the near-field case. Thus the singular value decomposition technique could not be applied to the present problem in the far-field case. These numerical results match the

les donnees qui est un peu faible. L'ecart entre les deux valeurs a donc une signi cation statistique de 1.7 . Dans un deuxieme temps, nous avons remplace dans la fonction

properties: For the corrosion pit area and volume populations, a multi-covariate Weibull distribution was selected, where the scale parameter (of the Weibull equation) is a function