Nilearn 0.8.1 release

Published:

We just released nilearn 0.8.1! You can get it through pip: $ pip install nilearn.

Highlights

This new release fixes some bugs and adds a bunch of new functionalities, among which:

  • New atlas fetcher nilearn.datasets.fetch_atlas_juelich to download Juelich atlas from FSL.

  • New grey and white-matter template and mask loading functions: nilearn.datasets.load_mni152_gm_template, nilearn.datasets.load_mni152_wm_template, nilearn.datasets.load_mni152_gm_mask, and nilearn.datasets.load_mni152_wm_mask.

  • Nilearn development process has been reworked. It now provides insights on nilearn organization as a project as well as more explicit Contribution Guidelines.

  • nilearn.image.binarize_img binarizes images into 0 and 1.