Chen Pin-Hao A, Qu Yang
Department of Psychology, National Taiwan University, Taipei, Taiwan.
Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan.
Front Hum Neurosci. 2021 Aug 26;15:703999. doi: 10.3389/fnhum.2021.703999. eCollection 2021.
Parent-child similarities and discrepancies at multiple levels provide a window to understand the cultural transmission process. Although prior research has examined parent-child similarities at the belief, behavioral, and physiological levels across cultures, little is known about parent-child similarities at the neural level. The current review introduces an interdisciplinary computational cultural neuroscience approach, which utilizes computational methods to understand neural and psychological processes being involved during parent-child interactions at intra- and inter-personal level. This review provides three examples, including the application of intersubject representational similarity analysis to analyze naturalistic neuroimaging data, the usage of computer vision to capture non-verbal social signals during parent-child interactions, and unraveling the psychological complexities involved during real-time parent-child interactions based on their simultaneous recorded brain response patterns. We hope that this computational cultural neuroscience approach can provide researchers an alternative way to examine parent-child similarities and discrepancies across different cultural contexts and gain a better understanding of cultural transmission processes.
多层面的亲子相似性和差异为理解文化传播过程提供了一个窗口。尽管先前的研究已经考察了不同文化中亲子在信念、行为和生理层面的相似性，但对于神经层面的亲子相似性却知之甚少。本综述介绍了一种跨学科的计算文化神经科学方法，该方法利用计算方法来理解在人际和个体层面的亲子互动过程中所涉及的神经和心理过程。本综述提供了三个例子，包括应用主体间表征相似性分析来分析自然主义神经影像数据、使用计算机视觉来捕捉亲子互动过程中的非语言社会信号，以及基于同时记录的脑反应模式来揭示实时亲子互动中所涉及的心理复杂性。我们希望这种计算文化神经科学方法能够为研究人员提供一种替代方法，以考察不同文化背景下的亲子相似性和差异，并更好地理解文化传播过程。
