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About

Zhiming Xu is a pioneering researcher in neural engineering and brain-machine interfaces (BMIs), with a focus on restoring independent mobility to individuals with paralysis. His most influential work, "Independent Mobility Achieved through a Wireless Brain-Machine Interface" (2016, 55 citations), demonstrates how non-human primates used wireless neural signals to control a robotic platform, enabling self-directed movement—a breakthrough with profound implications for tetraplegic patients. Xu further advanced asynchronous, continuous control of mobile robots via motor cortical spiking activity (2014, 14 citations), designing a multiclass support vector machine to allow subjects to drive robots in real time. His 2015 study (6 citations) explored neural representations of movement intentions during brain-controlled self-motion, revealing how motor cortex activity encodes navigation goals. Beyond BMIs, Xu has contributed to medical robotics, developing a master manipulator for vascular interventional surgery training (2018, 3 citations). Collectively, his work bridges fundamental neuroscience and practical assistive technology, offering a pathway to wireless, brain-controlled mobility that could transform rehabilitation and quality of life for those with severe motor impairments.