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Project : Neurocomputing & imaging NEURoSENSE Beyond the beautiful (Y. Burnod, S.Baillet, M. Pessiglione,G. Marrelec, B. Thirion, O. Coulon, M. Riesenhuber, C. Habeck) Neurocomputing & imaging NEURoSENSE: Beyond the beautiful • Great achievements in neuroimaging have benefited from basic methodology – e.g., Talairach atlas, univariate statistics, etc. • Challenge: augment the information content while keeping salient results • Database – – – – Ontology: multimodal/polyfeature data Idea: shared representations, multiple points of view Building blocks: Bridge multiple representations Key issue: variability across individuals Database • Ontology – Joint representation of multimodal/polyfeature data • Morphology, locations, interactions, flows • Idea: rather that combining data, work with shared representations from multiple point of views on the brain • Building blocks – Bridge between multiple representations of brain activity/morphoplogy • (localization, size, amplitude of activity, dynamics, etc.) • Key issue: deal with considerable variability across individuals • Key feature – Isn’t complexity and variability only in the details? Call for collaborators • Neuroimagers – To cover multimodal approaches (xMRI, MEG/EEG, optical, etc) • Bridge with high-performance computing – – – – Databasing Advanced visualization Data mining Optimization of processing pipelines • Computational neuroscientists/modelers – Converge on common representations of complex systems and features Functional/Anatomical networks • Functional – Modality related: fMRI, MEG/EEG, optical – Related to dynamics: • Phasic (stimulus-related, with diffusion processes) • Tonic (ongoing, modes & networks) • Anatomy – Beyond coordinates: agree on elementary structural features – Same for connectivity