Generalizable Patterns in Neuroimaging: How Many Principal Components?-Reference-Cited by-同舟云学术

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Generalizable Patterns in Neuroimaging: How Many Principal Components?

Published:1999-05 Issue:5 Volume:9 Page:534-544
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Hansen Lars Kai,Larsen Jan,Nielsen Finn Årup,Strother Stephen C.,Rostrup Egill,Savoy Robert,Lange Nicholas,Sidtis John,Svarer Claus,Paulson Olaf B.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference30 articles.

1. Fitting autoregressive models for prediction;Akaike;Ann. Inst. Stat. Mat.,1969

2. On detection of activation patterns using principal component analysis;Ardekani,1998

3. Functional magnetic resonance image analysis of a large-scale neurocognitive network;Bullmore;NeuroImage,1996

4. Principal Component Neural Networks: Theory and Applications;Diamantaras,1996

5. Efron, B. 1983, The jackknife, bootstrap and other resampling plans. SIAM Monogr. 38, CBMS-NSF, Philadelphia

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