Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.

There is strong evidence to suggest that data recorded from magnetoencephalography (MEG) follows a non-Gaussian distribution. However, existing standard methods for source localisation model the data using only second order statistics, and therefore use the inherent assumption of a Gaussian distribu...

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Dettagli Bibliografici
Autori principali:	Mohseni, H, Kringelbach, M, Woolrich, M, Baker, A, Aziz, T, Probert-Smith, P
Natura:	Journal article
Lingua:	English
Pubblicazione:	Academic Press Inc. 2014

Non-gaussian probabilistic MEG source localisation based on kernel density estimation di Mohseni, H, Baker, A, Probert-Smith, P, Kringelbach, M, Woolrich, M, Aziz, T

Pubblicazione 2014

Journal article

Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.

Non-gaussian probabilistic MEG source localisation based on kernel density estimation di Mohseni, H, Baker, A, Probert-Smith, P, Kringelbach, M, Woolrich, M, Aziz, T

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