Margaux Duret
Papers
1
Total Citations
4
H-Index
1
About
Margaux Duret’s research lies at the intersection of motor neuroscience and brain-machine interfaces (BMIs), with a focus on decoding dexterous hand movements from neural activity. Her most-cited work, “Estimation of two-digit grip type and grip force level by frequency decoding of motor cortex activity for a BMI application” (2015), demonstrates her pioneering approach to extracting both kinematic and kinetic information—specifically grip type and force level—during precision grasping. By analyzing spike trains recorded from a 100-microelectrode array implanted in the motor cortex of a non-human primate, Duret showed that frequency-based decoding could simultaneously predict multiple parameters of hand control. This work is foundational for developing more intuitive, high-performance BMIs that restore fine motor function in paralyzed individuals. Though her citation count is modest, the study’s technical rigor and direct relevance to neuroprosthetics mark it as a notable contribution to the field. Duret’s research continues to advance our understanding of how the motor cortex encodes complex hand actions, bridging basic neuroscience with translational applications for assistive technology.
Research Focus
Key Achievements
Top Papers
- 1