Orateur
Bertrand Thirion
(INRIA / Neurospin)
Description
Functional brain imaging offers a unique view on brain functional organization, which is broadly characterized by two features: the segregation of brain territories into functionally specialized regions, and the integration of these regions into networks of coherent activity. Among other observation modalities, magnetic resonance imaging yields a spatially resolved, yet noisy view of this organization. In this talk, I will discuss how the use of multiple datasets and machine learning tools can enhance the inference procedures that are necessary to go from data to knowledge on the brain.
