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The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG

Source localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation in epilepsy. Among the many available source localization algorithms, SESAME (SEquential SemiAnalytic Montecarlo Estimator) is a B...

Celý popis

Uloženo v:
Hlavní autoři: Gianvittorio Luria, Alessandro Viani, Annalisa Pascarella, Harald Bornfleth, Sara Sommariva, Alberto Sorrentino
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2024-03-01
Edice:Frontiers in Human Neuroscience
Témata:
Bayesian inference
inverse problems
MEG
EEG
open-source software
MATLAB
On-line přístup:https://www.frontiersin.org/articles/10.3389/fnhum.2024.1359753/full
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