Sofiane Ouanezar
Papers
3
Total Citations
25
H-Index
3
About
Sofiane Ouanezar’s research lies at the intersection of computational neuroscience and bio-inspired robotics, with a focus on how the brain controls movement and how these principles can be applied to robotic systems. His work explores the neural representation of gravitational forces, particularly how the cerebellum integrates gravitational torques to compute inverse dynamics for vertical pointing movements. This foundational study, with 18 citations, offers key insights into the brain’s internal models for motor control. Ouanezar has also advanced brain-machine interfaces (BMI), investigating how intracortical signals from the motor cortex can decode finger positions and EMG activity during precision grip, aiming to restore manual dexterity in robotic prosthetics. Additionally, his research on biologically inspired control of a 2-link robotic arm using McKibben pneumatic muscles demonstrates a commitment to building more natural, adaptive robotic systems. Though his citation counts are modest, Ouanezar’s work is notable for its interdisciplinary approach—bridging neurophysiology, computational modeling, and robotics—and for addressing fundamental questions about how the brain computes movement dynamics, with direct implications for neurorobotics and assistive technology.
Research Focus
Key Achievements
Top Papers
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