Great presentation by G. Lemaitre at the funconnect meeting at Neurospin: How large cohorts (~2500 people) boosts prediction accuracy.
MNE 0.17 is out !
See http://martinos.org/mne/stable/ and http://martinos.org/mne/stable/whats_new.html#version-0-17 for a complete change list
Congrats to all the developers team !
Nilearn 0.5 is out
We are happy to announce the release of version 0.5 of nilearn, released
on Friday by Kshitij!
The most exciting addition in this release is interactive plotting
that naturally embeds in the Jupyter notebook, to plot volumes, surfaces,
or connectomes:
http://nilearn.github.io/plotting/index.html#interactive-plotting
A detailed changelog can be found at:
http://nilearn.github.io/whats_new.html
First prize from STIC doctoral school for Tom Dupré la Tour
For his “Non-linear auto-regressive models for cross-frequency coupling in neural time series” paper.
Tom is supervised by Yves Grenier and Alexandre Gramfort.
Congratulations, Tom !
Learning Representations from Functional fMRI Data
Arthur is defending his Ph.D. thesis on the 28th of September, at 2pm in the Talairach amphitheatre, at NeuroSpin.
My thesis is entitled ‘Learning Representations from Functional fMRI Data’, and its abstract follows. The jury is composed of
Pr. Jalal Fadili, CNRS / Ensicaen, Caen, France – reviewer
Pr. Bin Yu, University of California, Berkeley, USA – reviewer
Pr. Moritz Große-Wentrup, Max-Planck Institute, Tübingen, Germany
Pr. Aapo Hyvärinen, University College London, UK
Pr. Eric Moulines, École Polytechnique, Palaiseau, France
Pr. Bertrand Thirion, Inria, Saclay, France – director
Pr. Julien Mairal, Inria, Grenoble, France – supervisor
Pr. Gaël Varoquaux, Inria, Saclay, France – supervisor
Congratulations to Arthur !
Compressed Sensing in MRI: optimization-based design of k-space filling curves for accelerated MRI”
PhD defense of Carole Lazarus on Sept 27th at Neurospin at 2PM.
Jury members are:
- Pr. Klaas Pruessmann (Institute for Biomedical Engineering, ETH Zürich) – reviewer
- Dr. Carola-Bibiane Schönlieb (DAMPT, Univ. of Cambridge) – reviewer
- Pr. Stéphane Lehéricy (PUPH at UPMC, CENIR) – examiner
- Pr. Charles Soussen (Central Supelec) – examiner
- Dr. Pierre Weiss (CNRS ITAV Toulouse) – examiner
- Dr. Robin Heidemann (SIEMENS Healthineers, Erlangen) – guest
- Dr. Alexandre Vignaud – co-supervisor
- Dr. Philippe Ciuciu – supervisor
Congratulations to Carole !
scikit learn 0.20 is out !
Optimizing deep video representation to match brain activity
In https://hal.archives-ouvertes.fr/hal-01868735 we show how to create deep video representations that match the activity in the human visual system and discover novel relationships between these “deep encodings” and the human visual system.
Presented at CNN 2018 by Hugo Richard.
Lecture by B. Thirion at theoretical physics institute, Saclay
“Toward a rigorous causal framework for brain mapping”, following our collaboration with @zdeborova
Parietal at DS3
@ogrisel has been giving a great course on deep learning with Keras on June 28-29 at Polytechnique, Palaiseau, France. See https://m2dsupsdlclass.github.io/lectures-labs/