跨学科知识的交叉与融合机制研究—以脑电技术为例

Research on Interdisciplinary Knowledge Intersection and Fusion Mechanism—Taking EEG Technology as an Example

摘要:

以认知神经科学领域的脑电技术为例，通过时序分析纵向探索知识的交叉路径，通过共词分析横向探索知识的融合主题，从而深入挖掘认知神经科学领域与人文社科领域知识的交叉与融合机制，总结跨学科知识交叉融合的内在规律。结果发现，跨学科知识交叉融合可通过一定的技术手段来实现，自1970年至今，脑电技术已促成了认知神经科学与12个人文社科领域交叉融合，且学科交叉数量在1990年后稳步增长；跨学科知识交叉融合一般发生在已有学科研究的薄弱环节，脑电技术的应用恰好弥补了传统人文社科领域对个体认知层面上的决策动机、情绪影响及注意力分配等研究的不足。

Abstract:

Taking EEG technology in the field of cognitive neuroscience as an example, this paper explores the cross path of knowledge intersection through time series analysis, and explores the topic of knowledge fusion through co-word analysis, so as to deeply analyzes intersection and fusion mechanism of knowledge in cognitive neuroscience and Humanities and Social Sciences, summarize the inherent law of cross integration of interdisciplinary knowledge. The study found that the interdisciplinary knowledge fusion can be achieved through certain technical means. Since 1970, EEG technology has contributed to the cross-fusion of cognitive neuroscience and 12 Humanities and Social Sciences, and the number of interdisciplinary subjects has steadily increased since 1990. In addition, interdisciplinary knowledge fusion generally occurs in the weak links of existing disciplinary research, and the application of EEG technology just makes up for the shortcomings of the traditional Humanities and Social Sciences on the individual cognitive level of decision-making motivation, emotional influence and attention distribution.