Probabilistic independent component analysis for functional magnetic resonance imaging.

Probabilistic independent component analysis for functional magnetic resonance imaging.

We present an integrated approach to probabilistic independent component analysis (ICA) for functional MRI (FMRI) data that allows for nonsquare mixing in the presence of Gaussian noise. In order to avoid overfitting, we employ objective estimation of the amount of Gaussian noise through Bayesian an...

書目詳細資料
Main Authors:	Beckmann, C, Smith, S
格式:	Journal article
語言:	English
出版:	2004

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