Machine Learning for Neuroimaging with Scikit-Learn

Machine Learning for Neuroimaging with Scikit-Learn

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encodin...

Full description

Bibliographic Details
Main Authors: Alexandre eAbraham, Fabian ePedregosa, Michael eEickenberg, Philippe eGervais, Andreas eMueller, Jean eKossaifi, Alexandre eGramfort, Bertrand eThirion, Gael eVaroquaux
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Neuroinformatics
Subjects:
Neuroimaging
machine learning
statistical learning
python
scikit-learn
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00014/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00014/full

Similar Items