Research Initiation Award: Toward understanding the mechanisms for brain activity patterns by modeling networks of multi time- and amplitude-scale dynamical systems.

研究启动奖：通过对多时间和幅度尺度动力系统的网络进行建模来理解大脑活动模式的机制。

• 批准号: 1901028
• 负责人: Hui Wu
• 金额: $ 28.43万
• 依托单位: Clark Atlanta University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901028&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Toward; understanding

Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities who are building new research programs or redirecting and rebuilding existing research programs. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at the home institution, and involves undergraduate students in research experiences. The award to Clark Atlanta University (CAU) has potential broader impacts in a number of areas. The goal of this project is to advance understanding of the mechanisms for collective dynamical behaviors in networks of coupled oscillator systems with multi-time and multi-amplitude scales, and to enhance teaching and learning at the university by involving African American undergraduate students in multidisciplinary research activities. An understanding of the dynamical mechanisms is crucial to make sense of experimentally observed network oscillations, for example, the neural oscillations in the brain. The proposed research will use theoretical analysis and computational modeling of networks of time-delay coupled oscillators. It aims to uncover the effects of time-delayed positive and negative couplings in synchronization; formulate a generalized theory for the origin of mixed-mode amplitude patterns; and develop a general network topology for coupled oscillators to mimic brain activity propagation and stable patterns. The project will integrate research and student training in applied mathematics by embedding research projects in courses and training students in advanced analytical and computational skills. This project will be conducted in collaboration with Georgia State University.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

研究启动奖为历史上黑人学院和大学的初级和中级职业教师提供支持，他们正在建立新的研究项目或重新定向和重建现有的研究项目。预计该奖项将有助于进一步提高教师的研究能力和效率，改善家庭机构的研究和教学，并使本科生参与研究经验。授予克拉克亚特兰大大学（CAU）的奖项在许多领域具有潜在的更广泛的影响。该项目的目标是促进对具有多时间和多振幅尺度的耦合振荡器系统网络中集体动力学行为机制的理解，并通过让非裔美国本科生参与多学科研究活动来加强大学的教学。理解动力学机制对于理解实验观察到的网络振荡（例如，大脑中的神经振荡）至关重要。拟议的研究将使用理论分析和计算建模的时间延迟耦合振荡器的网络。它旨在揭示时间延迟的正负耦合在同步中的影响;制定混合模式振幅模式起源的广义理论;并为耦合振荡器开发一个通用的网络拓扑结构，以模仿大脑活动传播和稳定模式。该项目将通过在课程中嵌入研究项目和培训学生高级分析和计算技能，将应用数学的研究和学生培训结合起来。该项目将与格鲁吉亚州立大学合作进行。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估。

项目成果

The Effect of the Infection Rate on Oncolytic Virotherapy

• DOI: 10.11648/j.cbb.20200801.14
• 发表时间: 2020-07
• 作者: Dongwook Kim;Haeyoung Kim;Hui Wu;Dong-Hoon Shin