[Neuroimaging] New release of nilearn

[Gael Varoquaux]

Hi everyone,

We are happy to announce the release of version 0.5 of nilearn, a tool
for multivariate analysis of brain imaging data in Python.

Maybe the most exciting addition in this release is interactive plotting
that naturally embeds in the Jupyter notebook, to plot volumes, surfaces,
or connectomes:
http://nilearn.github.io/plotting/index.html#interactive-plotting

Nilearn can be used for decoding or biomarker extraction, resting-state
fMRI analysis, or more general manipulation of brain images in Python:
http://nilearn.github.io/user_guide.html

A detailed changelog can be found at:
http://nilearn.github.io/whats_new.html

Nilearn is developed by a variety of contributors around the world:
https://github.com/nilearn/nilearn/graphs/contributors

Gaël