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Focus on the innovative development of brain−computer interface and cultivate new quality productivity
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Xiaogang CHEN1, Jingjing CHEN2, Nanlin SHI3, Xiaorong GAO3, *
Science & Technology Review | 2026, 44(18) : 169 - 174
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Science & Technology Review | 2026, 44(18): 169-174
• Policy Forum •
Focus on the innovative development of brain−computer interface and cultivate new quality productivity
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Xiaogang CHEN1, Jingjing CHEN2, Nanlin SHI3, Xiaorong GAO3, *
Affiliations
  • 1Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
  • 2School of Education, Tsinghua University, Beijing 100084, China
  • 3School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
Published: 2026-09-28 doi: 10.3981/j.issn.1000-7857.2025.07.00039
Outline
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Brain−computer interface (BCI), as a cutting−edge field integrating brain science, artificial intelligence, and engineering technology, are becoming an important vehicle for cultivating new types of productivity. This study focuses on the crucial stage of BCI's transition from scientific research to industrial application, systematically reviewing our country's latest progress in policy layout, basic components, encoding and decoding methods, and typical application systems. It proposes that BCIs not only provide a path for the accumulation of new production factors through the efficient collection and processing of brain data, but also promote the formation of emerging industrial chains represented by personalized diagnosis and treatment of brain diseases, and demonstrate forward−looking potential in the field of human−machine collaborative brain−computer intelligence. Furthermore, this study proposes development suggestions from the dimensions of technological autonomy, industry−academia−research integration, and ethical standards, aiming to provide theoretical reference and analytical framework for our country to seize the strategic high ground in BCIs and shape its future industrial competitiveness.

brain−computer interface  /  brain−computer intelligence  /  new types of productivity
陈小刚, 陈菁菁, 史楠林, 高小榕. 聚焦脑机接口创新发展,培育新质生产力. 科技导报, 2026 , 44 (18) : 169 -174 . DOI: 10.3981/j.issn.1000-7857.2025.07.00039
Xiaogang CHEN, Jingjing CHEN, Nanlin SHI, Xiaorong GAO. Focus on the innovative development of brain−computer interface and cultivate new quality productivity[J]. Science & Technology Review, 2026 , 44 (18) : 169 -174 . DOI: 10.3981/j.issn.1000-7857.2025.07.00039
Year 2026 volume 44 Issue 18
204
105
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.07.00039
  • Receive Date:2025-07-07
  • Online Date:2026-11-03
  • Published:2026-09-28
Article Data
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History
  • Received:2025-07-07
  • Revised:2026-01-13
Funding
Affiliations
    1Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
    2School of Education, Tsinghua University, Beijing 100084, China
    3School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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