Bertrand THIRION

Author's posts

Aug 29

Visit of J. Dockès in Poldracklab

As part of metaMRI, Jérome Dockès is spending 2 months with Poldracklab to discuss text mining and cognitive ontologies: how do we extract information from neuroimaging literature and associate activation foci with these concepts ?

Aug 29

MetaMRI@ 2nd Annual CRN Coding Sprint

Elvis Dohmatob (Parietal) and Martin Perez Guevara (Neurospin) are staying there to work on BIDS, fmriprep, nistats with Poldracklab and the open science brain iamging community of the west cost. More information here: http://reproducibility.stanford.edu/2nd-annual-crn-coding-sprint-open-call-for-applications/

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 …

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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 …

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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 …

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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 …

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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.