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多脑框架下的社会交互。

A Multi-Brain Framework for Social Interaction.

机构信息

Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

Department of Biological Chemistry and Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

出版信息

Trends Neurosci. 2020 Sep;43(9):651-666. doi: 10.1016/j.tins.2020.06.008. Epub 2020 Jul 22.

Abstract

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.

摘要

社会互动可以被视为一个动态反馈回路,它将个体代理的行动、反应和内部认知过程联系起来。要更全面地理解社交大脑,就需要描述耦合大脑中的神经动力学是如何联系的,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,将社会互动视为一个动态塑造行为、共享认知状态和社会关系的神经网络系统的集成网络。我们描述了来自人类和动物模型的多脑实验中的关键发现,这些发现为社交回路在健康和疾病中的功能提供了新的见解。最后,我们讨论了阐明大脑间神经动力学的细胞级机制的最新进展,并概述了未来研究的关键领域。

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