Using a new software technology combining the strengths of MEG (magneto-encephalography) and fMRI (functional magnetic resonance imaging), we are able to characterize the spatiotemporal dynamics of perceived or imagined events at the level of the whole human brain.

The approach could be suited to developing functional biomarkers to aid clinicians in diagnosing disorders, pinpointing impairments as a precursor to therapeutic interventions, studying how to enhance or maintain a perceptual or cognitive function in the healthy brain, developing novel deep learning architectures inspired by human brain as well as developing adaptive learning algorithms combining the respective strengths of human and A.I. prediction processes.