Nilearn (original) (raw)
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Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive documentation & open community.
It supports general linear model (GLM) based analysis and leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modeling, classification, decoding, or connectivity analysis.
User guide
Learn about neuroimaging analysis
Featured examples¶
Deriving spatial maps from group fMRI data using ICA and Dictionary Learning
Derive spatial maps or networks from group fMRI data using two popular decomposition methods, ICA and Dictionary learning on data of children and young adults watching movies.
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Nilearn is part of the NiPy ecosystem.