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Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data
Brain decoding with functional magnetic resonance imaging (fMRI) requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA) has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern...
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Hindawi Publishing Corporation
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3793313/ https://ncbi.nlm.nih.gov/pubmed/24171045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/645921 |
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