INSPIRE Track 1: Crowd-sourcing neuroscience: Neural oscillations and human social dynamics

该INSPIRE奖部分由社会，行为和经济科学理事会行为和认知科学部的感知，行动和认知计划，认知神经科学计划和社会心理学计划资助，教育局正式和非正式环境学习研究处科学和工程教育项目的研究和评价和人力资源，以及控制系统计划在土木，机械和制造业创新的工程局。该项目的目标是了解自然主义的人类社会互动，特别是在群体环境中。虽然神经科学家越来越多地同时记录两个参与者，但群体动力学的神经基础仍然没有得到研究。利用越来越多的关于大脑节律作用的知识，该项目建立在这样一个假设的基础上，即人们可以将个体之间的耦合神经振荡描述为一种候选机制，该机制可以在动态环境中跟踪成功的社会沟通。这一目标是通过使用新型便携式EEG技术来实现的，该技术在生态环境中，特别是在教室中同时记录大量参与者（10-20人之间）的大脑活动。这将解决与记录各组数据集相关的重大硬件和软件挑战。此外，新的数据类型和数量也需要一个新的分析工具箱，这将成为模拟参与社会相关情况的多个大脑的基础。这项研究将影响教育和技术，并提供重要的推广机会。首先，关键实验将在高中课堂上进行，与科学教师合作。因此，该项目提供了一个新型的平台，提供动手STEM培训。第二，可穿戴移动的脑电记录系统的成功实现将对未来的神经科学研究产生重大影响，为实验室以外的研究提供有价值的工具（例如，在人群中：剧院、学校），具有否则难以到达的人群（例如，儿童、病人、老人）。最后，通过比较同一房间中的人与远处的人之间的通信（例如，MOOC），该项目有助于围绕现实生活中的行为线索与成功的沟通和教学的相关性的问题。

This INSPIRE award is partially funded by the Perception, Action, and Cognition Program, the Cognitive Neuroscience Program, and the Social Psychology Program in the Division of Behavioral and Cognitive Sciences in the Directorate for Social, Behavioral, and Economic Sciences, the Research and Evaluation on Education in Science and Engineering Program in the Division of Research on Learning in Formal and Informal Settings in the Directorate for Education and Human Resources, and the Control Systems Program in the Division of Civil, Mechanical, and Manufacturing Innovation in the Directorate for Engineering. The goal of the project is to understand naturalistic human social interaction, specifically in group contexts. While neuroscientists are increasingly recording from two participants concurrently, the neural basis of group dynamics remains uninvestigated. Capitalizing on the growing body of knowledge about the role of brain rhythms, the project builds on the hypothesis that one can characterize coupled neural oscillations between individuals as one candidate mechanism that tracks successful social communication in a dynamic context. This aim is pursued by using novel portable EEG technology to record brain activity from a large number of participants concurrently (between 10-20) in ecological situations, specifically a classroom. This will address the significant hardware and software challenges associated with recording data sets from groups. Moreover, the new type and amount of data will also require a novel analytic toolbox, which will form the basis of modeling multiple brains engaged in socially relevant situations.The research will impact education and technology, and provide significant outreach opportunities. First, the key experiments will be performed in a high school classroom, in collaboration with the science teachers. As such, the project provides a new type of platform to provide hands-on STEM training. Second, the successful implementation of the wearable mobile brain EEG recording system will have significant impact on future neuroscience research, providing a valuable tool for research outside of the lab (e.g., in a crowd: theatres, schools), with populations that are otherwise difficult to reach (e.g., children, patients, the elderly). Finally, by comparing communication between people in the same room to people at a distance (e.g., MOOCs), this project contributes to issues surrounding the relevance of real-life behavioral cues to successful communication and teaching.