试验成功！我国脑机接口领域取得新突破

Core Insights - The Chinese Academy of Sciences' Center for Excellence in Brain Science and Intelligent Technology has made significant advancements in the field of invasive brain-machine interfaces (BMIs) [1] - A research team successfully completed the second clinical trial of an invasive BMI, enabling a high-level paraplegic patient to control a smart wheelchair and robotic dog using brain signals in real-life scenarios [1] Technical Breakthroughs - The research achieved a series of breakthroughs in key technologies, improving the brain control performance by 15% to 20% even in noisy environments [2] - The team overcame challenges related to signal instability caused by environmental noise and the physiological and psychological fluctuations of patients [2] - Patients can now adjust decoding parameters in real-time during daily use without interrupting their operations for calibration [2] Response Time Improvement - The study introduced a custom communication protocol that reduced the end-to-end latency from signal acquisition to command execution to under 100 milliseconds [3] - This latency is lower than the physiological delay of 200 milliseconds in human neural pathways, resulting in a smoother and more natural control experience for patients [3]