2025.09. 11 作者 | 第一财经 钱童心 近日，一项来自中国研究团队发表的脑机接口研究成果引发关注。由中国科学院上海微系统与信息技 术研究所、脑虎科技与复旦大学附属华山医院联合开展研究，基于脑虎科技研发的一款具备广泛兼容 性的通用植入式柔性脑机接口系统，不仅实现脑机接口长期稳定植入，还创造性地破解脑机接口通用 性 难 题 ， 可 精 准 意 念 操 控 20 多 种 数 字 物 理 设 备 。 该 研 究 成 果 登 上 国 际 权 威 期 刊 《 先 进 科 学 》 （Advanced Science）。 上述研究还显示，在相近训练的时间下，接受脑虎科技通用脑机接口设备植入患者的大脑信息传输速 率（BPS）表现与马斯克旗下脑机接口公司Neuralink此前公布的受试者水平相当。 脑虎科技创始人兼首席科学家陶虎向第一财经记者介绍称，受试者在临床试验中累计完成25412次训 练任务后，信息传输最高比特率达4.15比特/秒。通过高兼容的XessOs脑机操作系统，受试者成功 实现了对大型复杂游戏、智能轮椅、智能家居和各种APP等多场景的意念控制，展现出通用脑机接 口系统广阔的临床应用前景。 就在当地时间9 ...

Core Viewpoint - The research on a universal implantable flexible brain-machine interface (BMI) system developed by a Chinese team demonstrates significant advantages over existing technologies, including high resolution, long-term stability, and low invasiveness, with potential applications in various clinical scenarios such as motor and speech rehabilitation [1][2]. Group 1: Company Developments - The universal implantable flexible BMI system can precisely control over 20 types of digital and physical devices, showcasing its broad clinical application prospects [1]. - The founder of Brain Tiger Technology reported that after 25,412 training tasks, the highest information transmission rate achieved by patients was 4.15 bits per second, comparable to the performance of subjects reported by Neuralink [1][2]. - As of September 10, Neuralink has implanted devices in 12 patients, with a total of 2,000 days of implantation and over 15,000 hours of usage [2]. Group 2: Industry Trends - The Chinese government has set ambitious goals for the brain-machine interface industry, aiming for breakthroughs in key technologies by 2027, with an estimated 1 to 2 million patients benefiting from assistive technologies [2][3]. - The development plan for brain-machine interfaces in China is considered the most comprehensive globally, integrating industry planning, medical regulation, and research supervision into a unified approach [3]. - The market potential for non-invasive brain-machine interface products in China is significant, with applications expected in various sectors including industrial production, education, gaming, sleep assistance, psychological therapy, and autonomous driving [4].