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.
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Parietal retreat: hacking in Damville
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.
PhD defense of Fabian
Fabian brilliantly defended his PhD thesis on February 20th at Inria, Place d’Italie, Paris. Congratulations, Dr. Pedregosa !
Link to slides and manuscript
Deep Learning for functional Neuroimaging
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