Research Initiation Award: Studying the Dynamics of Network Systems by Using Ordinary Differential Equations and Boolean Frameworks
Research Initiation Award: Studying the Dynamics of Network Systems by Using Ordinary Differential Equations and Boolean Frameworks
批准号:
1800406
负责人:
Yunjiao Wang
金额:
$28.32万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-01 至 2024-04-30
中文摘要
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英文摘要
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 Texas Southern University has potential broader impacts in a number of areas. The goal of the project is to better understand the relationships between the structures of network systems and their dynamics. Undergraduate students will gain research experiences and the research will be integrated in a number of undergraduate courses.The research goal of this proposed study is to decipher the relationships between the architecture of network systems and their dynamics in the context of biological network systems, gene regulatory networks and neuronal networks in particular. Based on two popular modeling frameworks, Boolean networks and coupled ordinary differential equations (ODEs), this proposed study will use both numerical and analytical methods to address the following questions: What are the necessary conditions on the principle parameters in an ODE system so that a network will achieve certain target dynamics? In the context of gene regulatory networks, what are the general bifurcations with a given network architecture? What are the possible effects of missing interactions on the dynamics of networks? The potential results will facilitate the modeling and analysis of mathematical models in biology. The study will also address a problem rising from the binocular rivalry phenomenon: Can mechanisms accounting for the dynamics of bistable perceptual rivalry be extended to multi-stable perceptual rivalry? Potential results will add to knowledge on the functions of our brain.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.
期刊论文(6)
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DOI:
10.1007/978-3-030-82193-7_17
发表时间:
2021
期刊:
影响因子:
--
作者:
[Lei Huang;D. Vrinceanu;Yunjiao Wang;N. Kulathunga;N. R. Ranasinghe]
通讯作者:
Lei Huang;D. Vrinceanu;Yunjiao Wang;N. Kulathunga;N. R. Ranasinghe
DOI:
10.1038/s41598-019-45011-7
发表时间:
2019-06-24
期刊:
SCIENTIFIC REPORTS
影响因子:
4.6
作者:
[Ben-Tal, Alona, Wang, Yunjiao, Leite, Maria C. A.]
通讯作者:
Leite, Maria C. A.
DOI:
10.1080/10236198.2023.2220811
发表时间:
2023-06-13
期刊:
JOURNAL OF DIFFERENCE EQUATIONS AND APPLICATIONS
影响因子:
1.1
作者:
[Wang,Yunjiao, Leite,Maria C. A., Ben-Tal,Alona]
通讯作者:
Ben-Tal,Alona
DOI:
10.1152/jn.00438.2019
发表时间:
2019-11-01
期刊:
JOURNAL OF NEUROPHYSIOLOGY
影响因子:
2.5
作者:
[Golubitsky, Martin, Zhao, Yukai, Lu, Zhong-Lin]
通讯作者:
Lu, Zhong-Lin
DOI:
10.3390/a14020051
发表时间:
2021-02-01
期刊:
ALGORITHMS
影响因子:
2.3
作者:
[Kulathunga, Nalinda, Ranasinghe, Nishath Rajiv, Wang, Yunjiao]
通讯作者:
Wang, Yunjiao
Excellence in Research: Collaborative Research: Strengthen the Foundation of Big Data Analytics via Interdisciplinary Research among HBCUs
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批准号:1831980
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项目类别:Standard Grant
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资助金额:$46.65万
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财政年份:2018
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负责人:Yunjiao Wang
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依托单位:
海外基金