Computational Core

计算核心

• 批准号: 8536922
• 负责人: Carmen Castro Canavier
• 金额: $ 2.76万
• 依托单位: LSU HEALTH SCIENCES CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8536922
• 关键词: Award; Biology; Brain; Collaborations; Collection; Complement; Complex; Computer Simulation; Core Facility; Data; Data Analyses; Data Set; Deep Brain Stimulation; Development; Dimensions; Engineering; Environment; Epileptogenesis; Funding; Grant; Health; High Performance Computing; Human; Institutional National Research Service Award; Learning; Letters; Louisiana; Mathematics; Memory; Mentors; Methodology; Methods; Mission; National Institute of Neurological Disorders and Stroke; Neurobiology; Neurosciences; Parkinsonian Disorders; Patients; Physics; Principal Investigator; Program Research Project Grants; Research; Research Infrastructure; Research Personnel; Resources; Secure; System; Techniques; Therapeutic; Training; Translational Research; United States National Institutes of Health; Veins; Writing; abstracting; computational neuroscience; computer science; computerized tools; design; experience; human data; improved; parent grant; programs; relating to nervous system

Abstract The NIH has emphasized computational approaches to biology in the NIH-Director's roadmap for a decade. The human brain contains many complex systems that underlie the problems of human health. Mathematical and computational approaches are required to make sense of the complexity, and to analyze the vast data sets that are currently being generated. The mission of this Core Facility is the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of neurobiological systems. In keeping with the research expertise and experience of the Core Director, the core will support projects with an emphasis on oscillations and synchrony. Since computational approaches so often complement experimental neuroscience, the presence of such a resource will facilitate new collaborative grants, and could proved essential components for training grants and program project grants. This core is poised to contribute to the transition to self-sufficiency by helping the Neuroscience Center of Excellence achieve a critical mass of R01-funded PIs by achieving new R01s for the remaining mentees as well as sustaining existing R01s and achieving new R01s for the existing PIs. The core will also contribute to our efforts to secure a Ruth L. Kirschstein National Research Service Award (NRSA) institutional training T32 award by contributing an inter- and multi-disciplinary dimension to the research environment, since techniques from physics, mathematics, engineering and computer science will be applied to neurobiological problems. The two specific aims of this core are: 1) To provide infrastructure support for funded grants that listed the computational core as a significant strength of the research environment; and 2) To allow for the collection of preliminary data and to develop new data-analytic methods to support strong new R01 applications.

抽象的 NIH已在NIH导演的路线图中强调了生物学的计算方法。人脑包含许多复杂的系统，这些系统是人类健康问题的基础。需要数学和计算方法来理解复杂性，并分析当前正在生成的大量数据集。该核心设施的使命是在神经生物学系统的研究中开发和应用数据分析和理论方法，数学建模和计算模拟技术。为了与核心主管的研究专业知识和经验保持一致，核心将支持项目，重点是振荡和同步。由于计算方法经常补充实验性神经科学，因此这种资源的存在将有助于新的协作赠款，并且可以证明是培训赠款和计划项目赠款的重要组成部分。该核心有望通过帮助神经科学卓越中心实现临界R01资助的PI来为向自给自足的过渡做出贡献，通过为其余的受训者实现新的R01，并维持现有的R01并实现现有的R01，以实现现有PI的新R01。该核心还将为我们的努力做出贡献，以确保露丝·柯希斯坦国家研究服务奖（NRSA）机构培训T32奖，通过为研究环境贡献了跨学科和多学科维度，因为物理，数学，工程科学和计算机科学的技术将适用于神经生物学问题。该核心的两个具体目的是：1）为将计算核心列为研究环境的重要优势的资助赠款提供基础设施支持； 2）允许收集初步数据并开发新的数据分析方法，以支持强大的新R01应用程序。