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Comparing within‐subject classification and regularization methods in fMRI for large and small sample sizes

In recent years, a variety of multivariate classifier models have been applied to fMRI, with different modeling assumptions. When classifying high‐dimensional fMRI data, we must also regularize to improve model stability, and the interactions between classifier and regularization techniques are stil...

詳細記述

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書誌詳細
出版年:Hum Brain Mapp
主要な著者: Churchill, Nathan W., Yourganov, Grigori, Strother, Stephen C.
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6869036/
https://ncbi.nlm.nih.gov/pubmed/24639383
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22490
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