Parietal@Brainhack 2016: lots of good stuff for Nilearn !

The Paris 2016 Brainhack has been an opportunity for a demonstration of the visualization capabilities of Nilearn and many improvements: better visualization, better examples. In particular, we are getting an example on seed-based correlation, for instance for resting-state, and an encoding example, mapping receptor fields in the visual cortex.

Some longer terms projects have started, such as surface-based visualization and GLM API discussions (currently in Nistats).

Stay tuned for the next release!