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A General Probabilistic Model for Group Independent Component Analysis and Its Estimation Methods

✍ Scribed by Ying Guo


Book ID
109224533
Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
480 KB
Volume
67
Category
Article
ISSN
0006-341X

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πŸ“œ SIMILAR VOLUMES


A method for making group inferences fro
✍ V.D. Calhoun; T. Adali; G.D. Pearlson; J.J. Pekar πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 861 KB

## Abstract Independent component analysis (ICA) is a promising analysis method that is being increasingly applied to fMRI data. A principal advantage of this approach is its applicability to cognitive paradigms for which detailed models of brain activity are not available. Independent component an

Comparison of three methods for generati
✍ Vincent J. Schmithorst; Scott K. Holland πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 597 KB

## Abstract ## Purpose To evaluate the relative effectiveness of three previously proposed methods of performing group independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. ## Materials and Methods Data were generated via computer simulation. Components were