Chen P.-H.APIN-HAO CHEN2022-04-252022-04-25202116625161https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114631716&doi=10.3389%2ffnhum.2021.703999&partnerID=40&md5=099004a32aaae1a0b44984c922e52453https://scholars.lib.ntu.edu.tw/handle/123456789/606261Parent-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. ? Copyright ? 2021 Chen and Qu.computational neurosciencecultural neurosciencedevelopmental neuroscienceneuroimagingparent-child interactionsocial interactionbrainchildcomputer visionfemalehumanhuman experimentmaleneurosciencereview[SDGs]SDG3review10.3389/fnhum.2021.7039992-s2.0-85114631716