Gabriela Cantarero
Papers
5
Total Citations
105
H-Index
3
About
Gabriela Cantarero is a leading researcher at the intersection of neural engineering and motor skill acquisition, whose work is fundamentally reshaping how we restore function and train complex motor behaviors. Her primary research areas span brain-machine interfaces (BMI), neurorehabilitation, and the neurophysiology of motor learning, with a particular focus on bimanual coordination and surgical skill development. Cantarero’s most impactful contribution is her pioneering work on shared control of bimanual robotic limbs, where she demonstrated how a brain-machine interface can enable self-feeding in individuals with tetraplegia—a paper that has garnered 59 citations and represents a critical step toward restoring independence in daily tasks requiring two-handed coordination. She has also made significant strides in surgical training, evaluating virtual reality and inanimate training methods for robot-assisted minimally invasive surgery (RAMIS), and exploring how cerebellar transcranial direct current stimulation (tDCS) can enhance skill learning and transfer. Her work on classifying bilateral hand gestures from microelectrode recordings in a tetraplegic patient (15 citations) and on conveying artificial touch through intracortical microstimulation further underscores her commitment to creating closed-loop, intuitive neuroprosthetic systems. Cantarero’s research sits at the nexus of fundamental neuroscience and translational application, offering tangible pathways to improve quality of life for individuals with sensorimotor deficits and to optimize training for complex surgical procedures.
Research Focus
Key Achievements
Top Papers
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