Generalizable Patterns in Neuroimaging: How Many Principal Components?
- 1 May 1999
- journal article
- clinical trial
- Published by Elsevier in NeuroImage
- Vol. 9 (5) , 534-544
- https://doi.org/10.1006/nimg.1998.0425
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- On the Detection of Activation Patterns Using Principal Components AnalysisPublished by Elsevier ,1998
- Functional Magnetic Resonance Image Analysis of a Large-Scale Neurocognitive NetworkNeuroImage, 1996
- Unsupervised learning and generalizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Nonparametric Analysis of Statistic Images from Functional Mapping ExperimentsJournal of Cerebral Blood Flow & Metabolism, 1996
- Characterizing Dynamic Brain Responses with fMRI: A Multivariate ApproachNeuroImage, 1995
- Functional Connectivity: The Principal-Component Analysis of Large (PET) Data SetsJournal of Cerebral Blood Flow & Metabolism, 1993
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992
- Neural network ensemblesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- The Jackknife, the Bootstrap and Other Resampling PlansPublished by Society for Industrial & Applied Mathematics (SIAM) ,1982
- Fitting autoregressive models for predictionAnnals of the Institute of Statistical Mathematics, 1969