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The central theme of Dr. Gentili's research is to understand the brain processes underlying human motor behavior by employing, experimental cognitive-motor neuroscience, computational modeling and robotics-based approaches. Dr. Gentili uses electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), kinematics, dynamics, electromyography (EMG), computational modeling and robotics to examine the brain processes underlying human cognitive-motor adaptation, learning and performance. The long-term goals of his research team include: i) understanding how the brain integrates the physical properties of upper-limb effectors and novel environments in relationship with specific cognitive processes (e.g., mental imagery, inhibitory, attentional mechanisms) during adaptive cognitive-motor behavior and ii) developing intelligent systems to monitor and enhance/regain cognitive-motor behavior through human-machine interaction. In addition his work will inform the development of the next generation of biomedical applications (e.g., brain biomarker monitoring, intervention programs, human-machine collaborative autonomy for rehabilitation).
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2023 57th Annual Conference on Information Sciences and Systems (CISS)pp.1-6, (2023)
Brain Imaging and Behaviorno. 6 (2023): 571-583
Experimental brain researchno. 7 (2023): 1945-1958
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Alexandra A. Shaver,Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson,Christopher Gaskins,Gregory P. Davis,Garrett E. Katz,Immanuel Samuel,Matthew J. Reinhard,Michelle E. Costanzo,James A. Reggia,
International Conference on Human-Computer Interaction (HCI International) (2022): 361-380
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