课题基金 / 基金详情

Training in computational neuroscience: Integrating experiment, theory and techn

Training in computational neuroscience: Integrating experiment, theory and techn
计算神经科学培训:实验、理论和技术的结合
批准号:
8310979
负责人:
David C. Mountain
金额:
$15.69万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2016-07-31

项目摘要

项目成果

David C. Mountain的其他基金

相似基金

相关文献

中文摘要
翻译
该提案寻求NIH的5年支持,以建立一个校园范围的培训计划, 对计算神经科学感兴趣的科学家、数学家和工程师将接受这两方面的培训 理论和实验神经科学。此外,他们将学习如何“翻译”他们的研究思路 从实验室到诊所。本建议书由RFA-DA-11-005中所要求的两个组件组成。 第一个是R90部分,将资助六名全日制本科研究实习生,为他们提供 课程作业和动手实验室研究经验相结合。R90还将资助两个 博士预科生第二个组成部分是一个全职的露丝L。Kirschstein国家研究服务 奖励(NRSA)机构博士前培训计划(T90),将资助4名博士前学生。 该提案的目标是在计算神经科学中创造一种独特的培训体验, 对计算神经科学感兴趣的年轻科学家、数学家和工程师将接受以下培训: 研究大脑的理论和实验方法。此外,他们还将学习如何 将他们的研究理念从实验室“翻译”到临床。该计划将整合基本的 知识,跨学科思维和翻译技能,以解决神经科学的挑战,以及 促进具有相似兴趣的教师和学生的强大社区。
英文摘要
This proposal seeks 5 years of NIH support to establish a campus-wide training program in which young scientists, mathematicians, and engineers interested in computational neuroscience will be trained in both theoretical and experimental neuroscience. In addition, they will learn how to "translate" their research ideas from the laboratory to the clinic. This proposal consists ofthe two required components in RFA-DA-11-005. This first is a R90 component that will fund six full-time undergraduate research trainees give them a combination of coursework and hands-on laboratory research experience. The R90 will also fund two predoctoral students. The second component is a full-time Ruth L. Kirschstein National Research Service Award (NRSA) institutional predoctoral training program (T90) that will fund 4 predoctoral students. The goal of this proposal is to create a unique training experience in computational neuroscience in which young scientists, mathematicians, and engineers interested in computational neuroscience will be trained in both theoretical and experimental approaches to studying the brain. In addition, they will learn how to "translate" their research ideas from the laboratory to the clinic. The program will integrate fundamental knowledge, interdisciplinary thinking, and translational skills to solve challenges in the neurosciences, as well as promote a strong community of faculty and students with similar interests.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Training in computational neuroscience: Integrating experiment, theory, and techn
Training in computational neuroscience: Integrating experiment, theory and techn
Training in computational neuroscience: Integrating experiment, theory and techn
Training in computational neuroscience: Integrating experiment, theory, and techn
海外基金