A Sparse Representation-Based Algorithm for Pattern Localization in Brain Imaging Data Analysis

Considering the two-class classification problem in brain imaging data analysis, we propose a sparse representation-based multi-variate pattern analysis (MVPA) algorithm to localize brain activation patterns corresponding to different stimulus classes/brain states respectively. Feature selection can...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yuanqing, Long, Jinyi, He, Lin, Lu, Haidong, Gu, Zhenghui, Sun, Pei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515601/
https://www.ncbi.nlm.nih.gov/pubmed/23227167
http://dx.doi.org/10.1371/journal.pone.0050332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515601/
https://www.ncbi.nlm.nih.gov/pubmed/23227167
http://dx.doi.org/10.1371/journal.pone.0050332

Ejemplares similares