Nilearn 0.2: more powerful machine learning for neuroimaging
Read OriginalThe article announces the release of Nilearn 0.2, a Python library for applying machine learning to neuroimaging data. Key new features include SpaceNet for spatial regularization in decoding, dictionary learning for resting-state parcellations, improved plotting of probabilistic maps, and advanced tools for classification on brain connectomes. The update also features better documentation with narrative examples.
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