Bertrand THIRION
Author's posts
May 22
News workshop
Russ Poldrack is visiting Parietal for the News workshop on June 8-9, 2017 See you there: https://news2017.sciencesconf.org/
May 22
MetaMRI at the BIS’2017
Joke Durnez will present our activities during this workshop. BIS’2017 event page: https://project.inria.fr/siliconvalley/workshops/bis2017/
Nov 22
Meet metaMRI at NIPS’2016
MetaMRI partners will present several works at NIPS: Learning brain regions via large-scale online structured sparse dictionary learning Elvis DOHMATOB*, Inria; Arthur Mensch, inria; Gaël Varoquaux, ; Bertrand Thirion, Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain Timothy Rubin*, Indiana University; Sanmi Koyejo, UIUC; Michael Jones, Indiana University; Tal Yarkoni, University of …
Nov 01
Kick off of Neuroimaging power
The project aims at broaden the knowledge about accurate effect sizes and their variability in neuroimaging analysis and to provide intuition about effect sizes for different tasks and brain regions. It also aims at increasing the availability and ease the use of a variety of power analyses for neuroimaging data. The project fund Joke Durnez …
Oct 01
Metacog project kick-off
This project funds the PhD thesis of J. Dockès. The purpose of this thesis is to learn a semantic structure in cognitive terms from their occurrence in brain activations. This structure will simplify massive multi-label statistical-learning problems that arise in brain mapping by providing compact representations of cognitive concepts while capturing the imprecision on the …
Jul 23
Brain Imaging Data Structure
The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations. Work supported by MetaMRI. See http://www.hal.inserm.fr/inserm-01345616
Jul 02
Formal Models of the Network Co-occurrence Underlying Mental Operations
Our paper in Plos Computational biology is out: We contribute a multivariate statistical learning approach that can extract the major brain networks and quantify their configuration during various psychological tasks. The method is validated in two datasets by model-based generation of synthetic activity maps from recombination of shared network topographies. We demonstrate that task-specific neural …
Jun 01
BIS workshop: join the Nilearn coding sprint !
A Nilearn / Nistats coding sprint will take place in June 8-10 in Saclay and Paris. More information here and here. Parietal is also organizing a round table at the Future en Seine event, on June 10th. More information here.
Feb 22
Parietal@Brainhack 2016: lots of good stuff for Nilearn !
The Paris 2016 Brainhack has been an opportunity for a demonstration of the visualization capabilities of Nilearn and many improvements: better visualization, better examples. In particular, we are getting an example on seed-based correlation, for instance for resting-state, and an encoding example, mapping receptor fields in the visual cortex. Some longer terms projects have started, …
Oct 27
Meet metaMRI at NIPS this year.
We will be presenting our recent work on the joint analysis of rest and task fMRI in Montreal.
