The next “Unithé ou Café” meeting (Inria Saclay) will take place on Thursday, Sept. 29th in  Sophie Germain amphitheater of Alan Turing building. More information here.

The next “Demandez le programme !” (“ask for the program”) meeting of Inria Saclay will  take place on Thursday, Sept 22nd (1pm-2pm) in the Henri Poincaré room. Olivier Grisel will present Cloud computing tools: Kubernetes and Docker.

More information here.

Exciting presentations by Olivier Grisel, Gaël Varoquaux. See also the work on sphynx gallery by Oscar Najara, currently integrated into scikit learn.

We are currently hiring a post-doc for a collaboration with CEA/DRF theoretical physics institute to leverage approximate Message Passing (AMP) methods for brain imaging. Please find more details here.

A Nilearn / Nistats coding sprint will take place in June 8-10 in Saclay and Paris. More information here and here.

Parietal is also organizing a round table at the Future en Seine event, on June 10th. More information here.

Taking care of the pypreprocess library: making preprocessing and data QC for fMRI data easy.

https://github.com/neurospin/pypreprocess

Parietal fellows (+ some friends) at the 2016 retreat (April 18-20).

B.Thirion presented the challenges of ML for functional neuroimaging at the ATLAS workshop, that gathers French mathematicians and computer scientists. More details here.

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!