脑机接口迎新进展：10例受试者实现中文“意念说话”

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最近，上海岩思类脑人工智能研究院与复旦大学附属华山医院合作，在脑机接口领域取得突破。10例受试者的大脑植入电极后，经过短时间训练，通过解码其大脑神经电活动，与脑部电极相连的电脑就会实时显示出他们想说的中文语句。

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脑机接口迎新进展：10例受试者实现中文“意念说话”

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Scientists in Shanghai have achieved a major medical advance through collaboration between the YanSi Neuromorphic AI Institute and Huashan Hospital. In recent clinical tests, ten epilepsy (癫痫) patients with special brain devices learned to produce Chinese words simply by thinking after minimal training. This breakthrough offers new hope for people who have lost speech due to conditions like ALS or stroke. Brain-computer interface (BCI) technology enables direct communication between the brain and machines, holding great promise for healthcare, rehabilitation, and education. Shanghai has led China’s BCI development by building strong connections across research, industry, and medical fields.

Professor Mao Ying, director of Huashan Hospital, explained that with government support, they created a high-quality brain signal database using years of medical experience. The hospital also established the iBrain Data Alliance with other top neurosurgery hospitals. Partner institutions like YanSi access this shared data to develop BCI tools. “Using the world’s largest dataset of human brain signals, we built an advanced deep learning-based AI model that can read thoughts from brainwave patterns,” stated Professor Li Meng, YanSi’s chief scientist.

Understanding Chinese through brain signals presents special challenges. While English uses about 50 basic sounds, Chinese requires recognizing over 400 sound combinations. YanSi’s technology for reading signals from different brain areas, combined with their extensive database, solved this problem. During testing, epilepsy patients with existing sEEG devices spent 100 minutes reading 54 Chinese characters aloud. First, the devices recorded their brain activity from various locations. Then, the AI model broke down characters into sound components and matched them to brain patterns. Finally, it created personalized systems that build words from sounds to complete sentences.

Remarkably, after learning just 54 characters, the system understood 1,951 common Chinese words — demonstrating strong learning ability. It generates full sentences in under 0.5 seconds without length limits. “This transforms thoughts into text accurately and quickly,” Professor Li emphasized. Beyond helping speechless patients communicate, this technology may eventually allow mind-controlled devices, interaction with virtual worlds, or turning thoughts into AI artwork.

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