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imaging (fMRI). Recent studies [2, 3, 4] have shown the high potential of combining EEG and fMRI in a bi-modal NF training (i.e., NF scores are estimated in real-time from features of both modalities
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on biological data over several species on the whole lifespan from the embryonic stage of development to the adult age. We will rst study small species for which the whole brain networks (i.e. the connectomes
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mechanisms affecting the hardware; from the knowledge of failure mechanisms, derive the corresponding hardware faults (i.e., the logical representation of a failure mechanism); analyze their impact on AI and
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