Vassilis Raos

Foundation for Research and Technology Hellas

Papers

Total Citations

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About

Vassilis Raos is a leading researcher in the field of cortical neuroprosthetics, with a primary focus on decoding motor intentions from the brain to restore function in paralyzed individuals. His key research areas include neural signal processing, motor cortex decoding, and the development of implantable brain-computer interfaces (BCIs). Raos is best known for his pioneering work on the continuous decoding of grasping tasks, demonstrating that neural activity from the primary motor cortex (MI) can be used to predict distinct hand grips for prosthetic control. His most cited paper, "Continuous decoding of grasping tasks for a prospective implantable cortical neuroprosthesis" (2012), has garnered 12 citations and laid critical groundwork for translating neural signals into precise, real-world hand movements. This work is notable for its direct application to implantable systems, bridging the gap between basic neuroscience and clinical neuroprosthetics. Raos’s contributions are essential for advancing BCIs that could one day restore dexterous hand function to individuals with spinal cord injury or limb loss, making him a key figure in the quest for intuitive, brain-controlled assistive devices.