With the help of CDS.
Please see http://mloss.org/workshop/icml15/
Please see https://sites.google.com/site/stamlins2015/home.
The workshop is partly funded by the MetaMRI associate team.
Yannick will defend his PhD thesis entitled “Large-scale functional MRI analysis to
accumulate knowledge on brain functions.” at Neurospin on April 21st.
The committee will comprise:
- Tor D. Wager
- Finn A. Nielsen
- Yves Burnod
- Simon Eickhoff
- J.-B. Poline
- G. Varoquaux
- B. Thirion
We are pleased to invite you to the two-day workshop on NeuroImaging meta-analysis methods, that will be held at Neurospin, Saclay, France, on April 21-22. This workshop will be an opportunity to review current developments on data sharing in functional neuroimaging, the joint analysis of multiple neuroimaging datasets and machine learning tools dedicated to this aim. Registration is free but mandatory. Please see http://nimeta.sciencesconf.org/ for more information.
Exciting research projects –discovering OpenfMRI, the BrainPedia, Heroes and Audio/visual datasets– and improving our own tools (pypreprocess, Nilearn) + some outdoor activities whenever the weather permits.
Please find more details here.
Fabian brilliantly defended his PhD thesis on February 20th at Inria, Place d’Italie, Paris. Congratulations, Dr. Pedregosa !
Link to slides and manuscript
Michael will soon discuss the use of pretrained neural nets for Python and scikit-learn.
Save the date !
For more information, see our website:
and in particular the examples gallery:
Installation instructions can be found here:
The code is available on github:
Many thanks to the developer team and to the release manager, Loic Estève !
B. Thirion and O. Grisel will be presenting Parietal at the Senat, in Paris, on Feb.11th. More details here.
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.