Nilearn 0.1 is out !
For more information, see our website: http://nilearn.github.io/ and in particular the examples gallery: http://nilearn.github.io/auto_examples/index.html Installation instructions can be found here: http://nilearn.github.io/introduction.html#installation The code is available on github: https://github.com/nilearn/nilearn Many thanks to the developer team and to the release manager, Loic Estève !
Parietal@Senat
B. Thirion and O. Grisel will be presenting Parietal at the Senat, in Paris, on Feb.11th. More details here.
MetaMRI: Machine learning for meta-analysis of functional neuroimaging data
MetaMRI is a new associated team between Parietal and The Poldrack Lab at Stanford, also including J.B. Poline, UCBerkeley.
This team is an opportunity to develop our joint work on large-scale meta- and mega-analyses.
Keywords: OpenfMRI, data sharing, meta-analysis, mega-analysis, cognitive neuroscience, machine learning.
Nilearn 0.1 is coming !
Many thanks to Loic for the release work !
https://pypi.python.org/pypi/nilearn/0.1a1
Presentation on Deep Learning by O. Grisel online ! (in French)
nilearn now has a very beautiful glass brain http://nilearn.github.io/
New position available: Charting the Human Brain
This position is to work for the Individual brain Charting sub-project of the Human Brain Project (HBP), with the Parietal and Unicog teams. Please see or information here.
Scikit learn 0.15 is out !
http://scikit-learn.org/stable/whats_new.html
Thanks to the developer team, and in particular to Olivier !
Viviana graduated on July 8th
Viviana’s PHD thesis, entitled “Multi-modal registration of T1 brain image and geometric descriptors of white matter tracts”, was defended on July 8th at 2PM at Neurospin, with a committee composed of Bertrand Thirion (Director), Pierre Fillard (Advisor), Christian Barrillot (Reviewer), Natasha Lepore (Reviewer), Joan Glaunes (Examiner), Marc Baboulin (Examiner) and Demian Wassermann (Examiner).
Congratulations Dr. Siless !