Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers-Reference-Cited by-同舟云学术

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Classification of fMRI independent components using IC-fingerprints and support vector machine classifiers

Published:2007-01 Issue:1 Volume:34 Page:177-194
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

De Martino Federico,Gentile Francesco,Esposito Fabrizio,Balsi Marco,Di Salle Francesco,Goebel Rainer,Formisano Elia

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference47 articles.

1. Reducing multiclass to binary: a unifying approach for margin classifiers;Allwein;J. Mach. Learn. Res.,2000

2. Brain dynamics during natural viewing conditions: a new guide for mapping connectivity in vivo;Bartels;NeuroImage,2005

3. Novelty indices: identifiers of potentially interesting time-courses in functional MRI data;Baumgartner;Magn. Reson. Imaging,2000

4. Tensorial extensions of independent component analysis for multisubject fMRI;Beckmann;NeuroImage,2005

5. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms;Calhoun;Hum. Brain Mapp.,2001

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