Papers
3
Total Citations
36
H-Index
3
About
Luc Estebanez is a leading researcher in the field of neuroprosthetics, with a primary focus on developing closed-loop brain–machine interfaces (BMIs) that integrate sensory feedback for more natural prosthesis control. His work centers on combining intracortical recordings with patterned optogenetic and distributed cortical microstimulation to create bidirectional communication between the brain and external devices. Estebanez’s most influential contribution is his 2018 study on a fast intracortical BMI with patterned optogenetic feedback, which has garnered 26 citations and demonstrated how real-time sensory feedback can significantly improve motor control in a rodent model. He further advanced this concept in 2022 by showing that distributed optogenetic cortical feedback enables learning in closed-loop BMIs, a critical step toward restoring autonomy for amputees and tetraplegic patients. His 2019 work on controlling a robotic prosthesis simulation through a closed-loop intracortical BMI bridges the gap between laboratory experiments and real-world prosthetic applications. Estebanez’s research is notable for its translational potential, directly addressing the challenge of making BMIs practical for daily use by integrating sensory feedback loops that mimic natural proprioception.
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