Stephanie Hao

Papers

Total Citations

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About

Stephanie Hao’s research lies at the intersection of motor neuroscience and neural engineering, with a focus on decoding the neural dynamics that enable precise, robust human movement. Her most-cited work, “High frequency activity correlates of robust movement in humans” (2014), leverages stereotactic encephalograph (SEEG) depth electrodes to capture neural activity during a center-out reaching task. By analyzing high-frequency oscillations, she identified key neural signatures that correlate with movement stability and adaptability, offering rare insights into the subcortical and cortical circuits underlying motor control. Though early in her citation trajectory—with 5 citations on this landmark paper—her work has already influenced discussions on brain-machine interfaces and neurorehabilitation. Hao’s methodological rigor, combining invasive electrophysiology with robotic manipulandum tasks, sets a foundation for translating basic motor control principles into clinical applications. Her contributions are particularly notable for advancing our understanding of how the human brain achieves fast, robust movement despite neural noise, a challenge central to both neuroscience and prosthetic design. As her research continues to evolve, Hao stands out as a promising voice in the quest to decode the neural code of human motion.