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Computation is crucial for information extraction in functional neuroimaging. Indeed, functional images provide representations of complex conditions whose interpretation requires the use of sophisticated computational techniques. This mini-symposium provides an overview of up-to-date methods and applications concerning a wide spectrum of functional neuroimaging problems. As for applications, imaging modalities will range from neurophysiology, through PET to fMRI. As for methodologies, the mathematics considered will involve inverse and forward modeling, pattern recognition, image integration, connectivity analysis. Common trait of these contributions will be the use of experimental measurements, acquired in health and disease, under lab and clinical conditions.