Taking a Computational Cultural Neuroscience Approach to Study Parent-Child Similarities in Diverse Cultural Contexts
Journal
Frontiers in Human Neuroscience
Journal Volume
15
Date Issued
2021
Author(s)
Chen P.-H.A
Abstract
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. ? Copyright ? 2021 Chen and Qu.
Subjects
computational neuroscience
cultural neuroscience
developmental neuroscience
neuroimaging
parent-child interaction
social interaction
brain
child
computer vision
female
human
human experiment
male
neuroscience
review
SDGs
Type
review