Rodolphe Gentili
The central theme of Rodolphe 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. His work will inform the development of the next generation of biomedical applications (e.g., brain monitoring, intervention programs, human-machine collaborative autonomy for rehabilitation).
Departments/Units
Areas of Interest
Core FacultyCognitive-Motor Control and Learning; EEG; Human-Machine Interaction; Robotics; Rehabilitation
The central theme of Rodolphe 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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PhD, Motor Neurosciences and Human Performance
University of Burgundy (France)
MS, Motor Neurosciences and Human Performance
University of Burgundy (France)
BS, Computer Science
University of Franche-Comté (France)
BS, Kinesiology and Human Motor Performance
University of Burgundy (France)
KNES 385 Motor Control and Learning
KNES 462 Neural Basis of Human Movement
Hauge TC, Katz GE, Davis G, Huang DW, Reggia JA, Gentili RJ. (2020). High-level motor planning assessment during performance of complex action sequences in humans and a humanoid robot. International Journal of Social Robotics.
Shaw EP, Rietschel JC, Hendershot BD, Pruziner AL, Wolf EJ, Dearth CL, Miller MW, Hatfield BD, Gentili RJ. (2019). A comparison of cognitive workload in individuals with transtibial and transfemoral lower limb loss during dual-task walking under varying demand. The Journal of the International Neuropsychological Society.
Shuggi IM, Shaw EP, Wu H, Moreno A, Oh H, Shewokis PA, Gentili RJ. Motor performance, mental workload and self-efficacy dynamics during learning of reaching movements throughout multiple practice sessions. (2019). Neuroscience.
Shaw EP, Rietschel JC, Shuggi IM, Xu Y, Chen S, Miller MW, Hatfield BD, Gentili RJ. (2019) Cerebral cortical networking for cognitive workload assessment under various demands during dual-task walking. Experimental Brain Research, 237(9):2279-2295.
Pruziner AL, Shaw EP, Rietschel JC, Hendershot BD, Miller MW, Wolf EJ, Hatfield BD, Dearth CL, Gentili RJ. (2019). Biomechanical and neurocognitive performance outcomes of walking with transtibial limb loss while challenged by a concurrent task. Experimental Brain Research, 237(2):477-491.
Oh H, Braun AR, Reggia JA, Gentili RJ. (2018). Fronto-parietal mirror neuron system modeling: visuospatial transformations support imitation learning independently of imitator perspective. Human Movement Science, 65:121-141.
Shaw EP, Rietschel JC, Hendershot BD, Pruziner AL, Miller MW, Hatfield BD, Gentili RJ. (2018). Measurement of attentional reserve and mental effort for cognitive workload assessment under various task demands during dual-task walking. Biological Psychology, 134:39-51.
Shuggi IM, Shewokis PA, Herrmann JW, Gentili RJ. (2018). Changes in motor performance and mental workload during learning of reaching movements: a team dynamics perspective. Experimental Brain Research, 236(2):433-451.
Gentili RJ, Oh H, Kregling VA, Reggia JA. (2016). A cortical model for inverse kinematics computation of a humanoid finger with mechanically coupled joints. Bioinspiration & Biomimetics, 11(3):036013.
Gentili RJ, Oh H, Huang DW, Katz GE, Miller RH, Reggia JA. (2015). A neural architecture for performing actual and mentally simulated movements during self-intended and observed bimanual arm reaching movements. International Journal of Social Robotics, 7(3):371-392.