.png){kind=icon}
Return
A Multi-Brain Framework for Social Interaction
.png){kind=icon}
OA
AI
DOI：10.1016/j.tins.2020.06.008.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
NEURAL SYNCHRONIZATION
PHASE SYNCHRONIZATION
INFORMATION-FLOW
COORDINATION
OSCILLATIONS
COOPERATION
ATTENTION
EMERGENCE
COHERENCE
INSIGHTS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
15.1
Papers:
5.3K
Citations:
2.2W
Organization
Cited Papers
Promoter recognition by Escherichia coli RNA polymerase. Effects of single base pair deletions and insertions in the spacer DNA separating the -10 and -35 regions are dependent on spacer DNA sequence.png)
Biochemistry
BiochemistryIF0
PREAI
ShareSave
ShareSaveShareSaveShareSave
View more