Our paper has been accepted in Plos Computational Biology. Please see https://hal.inria.fr/hal-01908189 This is the first investigation of brain/cognition investigation that relies on a systematic cognitive ontology approach.
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
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/
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 …