Multisensory signals used for learning

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My research focuses on the integration of multisensory signals in the brain and how they are used to drive movement. To do this, I utilize fMRI, EEG, MEG and eye-tracking techniques to study dancers and healthy controls. Dance is ideal because it incorporates vision, audition, touch, and somatosensation to plan, execute, and correct movement. My studies examine expert dancers, amateurs, and people dancing for therapy. Learning how multisensory signals may be used to train the brain could have far-reaching applications in helping to fine-tune the way we all learn to move, or learning to circumvent damaged motor circuits.