Seven Chinese Ministries Release Major Policy on Brain-Computer Interfaces
- VRAR World
- 1 day ago
- 2 min read

According to CCTV News, seven Chinese government bodies—including the
Ministry of Industry and Information Technology, National Development and Reform
Commission, Ministry of Education, National Health Commission, State-owned Assets
Supervision and Administration Commission, Chinese Academy of Sciences, and National
Medical Products Administration—jointly released a major policy document titled
Implementation Opinions on Promoting Innovation and Development of the Brain-Computer
Interface (BCI) Industry.
The document sets out key goals: by 2027, China aims to achieve breakthroughs in core BCI
technologies and initially establish advanced systems for technology, industry, and standards.
The performance of electrodes, chips, and complete devices should reach internationally
advanced levels. BCI applications will be accelerated across industrial manufacturing,
medical health, and consumer sectors. The plan also includes forming 2 to 3 industrial
clusters and piloting a range of new application scenarios, models, and business forms.
By 2030, China intends to significantly enhance its BCI innovation capabilities and build a
secure and reliable industrial system. The goal is to cultivate 2 to 3 globally influential leading
enterprises, along with a number of specialized and innovative small and medium-sized firms,
ultimately creating a globally competitive industry ecosystem.
The policy emphasizes breakthroughs in key BCI chips, including high-channel, high-speed
neural signal acquisition chips with enhanced analog-digital conversion, channel
management, and noise suppression capabilities. It also calls for the development of high-
performance, ultra-low-power neural signal processing chips with integrated perception,
computing, and regulation functions, as well as ultra-low-power, high-speed communication
chips with strong anti-interference capabilities.
Additionally, the document highlights the need for advanced auxiliary equipment, such as
devices that combine neural signals with electromyography, electrooculography,
electrocardiography, and near-infrared signals to improve precision in interaction and
perceptual assessment. It also calls for high-precision surgical robots capable