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A Multi-Brain Framework for Social Interaction

delete2020-09-01
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Lyle Kingsbury
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Weizhe Hong *
DOI:10.1016/j.tins.2020.06.008delete
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摘要

摘要

En 中文
Social interaction can be seen as a dynamic feedback loop that couples action, reaction, and internal cognitive processes across individual agents. A fuller understanding of the social brain requires a description of how the neural dynamics across coupled brains are linked and how they coevolve over time. We elaborate a multi-brain framework that considers social interaction as an integrated network of neural systems that dynamically shape behavior, shared cognitive states, and social relationships. We describe key findings from multi-brain experiments in humans and animal models that shed new light on the function of social circuits in health and disease. Finally, we discuss recent prog-ress in elucidating the cellular-level mechanisms underlying inter-brain neural dynamics and outline key areas for future research.
Keyword:
NEURAL SYNCHRONIZATION
PHASE SYNCHRONIZATION
INFORMATION-FLOW
COORDINATION
OSCILLATIONS
COOPERATION
ATTENTION
EMERGENCE
COHERENCE
INSIGHTS
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期刊

Trends in Neurosciences 封面图
Trends in Neurosciences
IF:
15.1
论文数:
5.3K
被引数:
2.2W

机构

University of California System 封面图
University of California System
学者数:
37.7W
论文数: 33.8W
被引数: 6.6K
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