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A Multi-Brain Framework for Social Interaction
Trends in Neurosciences ( IF 15.9 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.tins.2020.06.008
Lyle Kingsbury 1 , Weizhe Hong 1
Affiliation  

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 progress in elucidating the cellular-level mechanisms underlying inter-brain neural dynamics and outline key areas for future research.

中文翻译:

社交互动的多脑框架

社会互动可以被看作是一个动态的反馈回路,它将行动、反应和内部认知过程耦合到个体代理之间。对社交大脑的更全面理解需要描述耦合大脑之间的神经动力学如何相互关联以及它们如何随时间共同进化。我们详细阐述了一个多脑框架,该框架将社交互动视为一个神经系统的集成网络,可以动态地塑造行为、共享认知状态和社交关系。我们描述了人类和动物模型的多脑实验的主要发现,这些发现揭示了社会回路在健康和疾病中的功能。最后,我们讨论了阐明脑间神经动力学背后的细胞水平机制的最新进展,并概述了未来研究的关键领域。
更新日期:2020-09-01
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