全球脑科学研究特征分析与科技管理借鉴  

Analysis of the Characteristics of Global Brain Science Research and Reference to Foreign Technology Management

作　　者：杨一帆[1] 潘君豪 YANG Yi-fan;PAN Jun-hao(School of Public Administration,Southwest Jiao tong University,Sichuan Chengdu 610031,China)

机构地区：[1]西南交通大学公共管理学院,四川成都610031

出　　处：《科学管理研究》2022年第3期49-58,共10页Scientific Management Research

基　　金：国家社会科学基金项目(18BZZ044);西南交通大学中央高校基本科研业务费专题研究项目(2682021ZTPY093)。

摘　　要：为了解全球脑科学领域的研究现状及热点,分析中国脑科学研究与国外同行的差距和差异。利用科学计量工具CiteSpace对2012—2021年近十年被Web of Science核心集数据库收录的以脑科学(brain science)为主题的6850篇学术论文进行可视化分析。研究发现:国别层面,美国持续引领全球脑科学领域研究,具有明显优势和主导地位,但近十年来中国的发文量增速最快,总量已经排名全球第二;核心机构层面,以美英加的高校为主,排名前列的中科院中心性较低,中国脑科学研究网络碎片化问题突出,中国在脑科学领域的国际影响力有待提升;内容层面,神经科学和类脑人工智能研究交叉融合的趋向明显,高突现关键词表明“神经网络”和“算法”是当前脑科学研究的前沿。综合来看,中国如能充分吸收借鉴美国等主要竞争国家在脑科学领域的战略导向型科技管理经验,发挥好举国体制优势,转化利用在人工智能应用上的既有成果,同时重视基础研究和人才底座培养,扩大有序参与,将有机会成为未来全球脑科学研究和科技产业创新实践的高地。In order to understand the research status and hotspots in the field of global brain science, this paper analyzes the gaps and differences between China’s brain science research and foreign counterparts.Using the scient metric tool CiteSpace, 6850 academic papers with the theme of brain science, which were included in the Web of Science core set database in the past ten years from 2012 to 2021,were visually analyzed.The study found that: at the country level, the United States continues to lead the research in the field of global brain science, and has obvious advantages and dominant positions.However, in the past ten years, the number of published papers in China has grown the fastest, and the total number has ranked second in the world;at the core institution level, the United States and Britain the Chinese Academy of Sciences is at the top of the list, and the centrality of the Chinese Academy of Sciences is relatively low.The fragmentation of China’s brain research network is prominent, and China’s international influence in the field of brain science needs to be improved.At the content level, neuroscience and brain-like artificial intelligence research are cross-integrated.The trend is obvious, and high-emergent keywords indicate that “neural network” and “algorithm” are the frontiers of current brain research.On the whole, if China can fully absorb and learn from the strategically oriented scientific and technological management experience in the field of brain science from major competing countries such as the United States, give full play to the advantages of the national system, transform and utilize the existing achievements in artificial intelligence applications, and at the same time attach importance to basic research and Talent base training, expanding orderly participation, will have the opportunity to become a high ground for global brain research and innovation practice in the technology industry in the future.

关 键 词：脑科学 知识图谱 文献计量 科技管理 

分 类 号：G649.712[文化科学—高等教育学]