Taking a Computational Cultural Neuroscience Approach to Study Parent-Child Similarities in Diverse Cultural Contexts
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 simi...
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Published in | Frontiers in human neuroscience Vol. 15; p. 703999 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
26.08.2021
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 Edited by: Xiaolin Zhou, Peking University, China These authors have contributed equally to this work and share first authorship This article was submitted to Cognitive Neuroscience, a section of the journal Frontiers in Human Neuroscience Reviewed by: Vanessa Reindl, University Hospital RWTH Aachen, Germany; Yang Hu, University of Bonn, Germany |
ISSN: | 1662-5161 1662-5161 |
DOI: | 10.3389/fnhum.2021.703999 |