A carregar...
CAPTURING SUBJECT VARIABILITY IN FMRI DATA : A GRAPH-THEORETICAL ANALYSIS OF GICA VS. IVA
BACKGROUND: Recent studies using simulated functional magnetic resonance imaging (fMRI) data show that independent vector analysis (IVA) is a superior solution for capturing spatial subject variability when compared with the widely used group independent component analysis (GICA). Retaining such var...
Na minha lista:
| Publicado no: | J Neurosci Methods |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4961734/ https://ncbi.nlm.nih.gov/pubmed/25797843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2015.03.019 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|