We are very pleased to announce the new 0.15 release of MNE-Python. This release comes with new features, bug fixes, and many improvements to usability, visualization, and documentation.
For a full list of improvements and API changes, see:
Olivier Grisel has presented scikit learn. See
B.thirion has taken part to the “Causality & Big Data” maating organized by CEA on Oct 18th.
Will take place on Tuesday, Sept 26th in Neurospin amphitheater. The thesis is entitled “Enhancement of functional brain connectome analysis by the use of deformable models in the estimation of spatial decompositions of the brain images”,
and the committee includes:
- John Ashburner
- Gabriel Peyré
- Moritz Grosse-Wentrup
- Marc Schoenauer
- G. Varoquaux et B.Thirion (supervisers)
See you there !
Jérôme Dockès is presenting a poster “Relating Brain Structures To Open-Ended Descriptions Of Cognition”: a rigorous machine learning setting for meta-analysis.
Elvis and Martin are staying there to work on BIDS, fmriprep, nistats….
More information here: http://reproducibility.stanford.edu/2nd-annual-crn-coding-sprint-open-call-for-applications/
Now on HAL: https://hal.inria.fr/hal-01576641
Great work by @joaoloula.
Euroscipy 2017 (https://www.euroscipy.org/2017/) is taking place at Erlangen Germany, Aug 28-Sept 1st, with very active participation from Parietal fellows:
- [Aug 29th] Scipy Tutorial by G. Varoquaux
- [Aug 28th] Scikit-Learn Tutorial by O. Grisel
- [Aug 28th] Pandas Tutorial by J. van de Bossche
- [Aug 28th] Python Tutorial by G.Lemaitre
- [Aug 30th] presentation of GeoPandas by J. van de Bossche
- [Aug 31st] presentation of imbalanced-learn by G.Lemaitre
- [Aug 31st] Tricks for Efficient Multicore Computing by O.Grisel
See you there !
1-year position for efficient high-dimensional linear models for neuroimaging data analysis. See more details here: https://team.inria.fr/parietal/files/2017/07/amphi_post_doc.pdf