Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data

We present two related probabilistic methods for neural source reconstruction from MEG/EEG data that reduce effects of interference, noise and correlated sources. Both methods localize source activity using a linear mixture of temporal basis functions (TBFs) learned from the data. In contrast to exi...

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Détails bibliographiques
Publié dans:Neuroimage
Auteurs principaux: Zumer, Johanna M., Attias, Hagai T., Sekihara, Kensuke, Nagarajan, Srikantan S.
Format: Artigo
Langue:Inglês
Publié: 2008
Sujets:
Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4361188/
https://ncbi.nlm.nih.gov/pubmed/18455439
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.02.006
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