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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:
8212685
负责人:
David C. Mountain
金额:
$16.52万
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

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中文摘要
翻译
描述(由申请人提供):这项提议寻求NIH 5年的支持,以建立一个校园范围的培训计划,在该计划中,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理论和实验神经科学方面的培训。此外,他们还将学习如何将他们的研究想法从实验室“转化”到临床。该提案包括RFA-DA-11-005中规定的两个组成部分。这是第一个R90组件,将资助六名全日制本科生研究实习生,让他们获得课程作业和动手实验室研究经验的结合。R90还将资助两名博士后研究生。第二部分是全日制Ruth L.Kirschstein国家研究服务奖(NRSA)院校博士前培训计划(T90),将资助4名博士前学生。这项提议的目标是创造一种独特的计算神经科学培训经验,在这种培训中,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研究大脑的理论和实验方法的培训。此外,他们还将学习如何将他们的研究想法从实验室“转化”到临床。该项目将整合基础知识、跨学科思维和翻译技能,以解决神经科学领域的挑战,并促进具有相似兴趣的教职员工和学生组成一个强大的社区。具体目标-本科培训计划1.为生物科学专业的学生提供将数学和工程概念应用于神经科学的坚实背景2.每年为三名最有成就的学生提供21个月的研究经验,将理论和经验方法结合在一起3.让学生接触到计算神经科学具体目标-研究生培训计划4.为拥有工程和数学学位的学生提供强大的实验神经科学培训5.为每年最有成就的三名学生提供24个月的奖学金,以开发结合理论和经验方法的研究项目6.提供职业指导和培训在撰写基金的具体目标时--所有项目7.促进教职员工和学生在院系之间建立联系8.向所有学生介绍神经科学方面的翻译挑战9.鼓励和支持所有受训人员参加地方和国家会议和研讨会 公共卫生相关性:该计划的目的是培养新一代神经科学家,他们将结合实验和理论技术来增加我们对大脑的了解,将他们的发现从实验室转移到临床,并发明新技术来恢复失去的大脑功能。
英文摘要
DESCRIPTION (provided by applicant): 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 of the two required components in RFA-DA-11-005. This first is R90 components 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. Specific Objectives - Undergraduate Training Program 1. Provide students majoring in the biological sciences with a strong background in the application of mathematical and engineering concepts to neuroscience 2. Provide three of the most accomplished students per year with a 21-month research experience that integrates theoretical and empirical approaches 3. Expose students to the diversity of research careers in computational neuroscience Specific Objectives - Graduate Training Program 4. Provide strong training in experimental neuroscience to students with engineering and mathematics degrees 5. Provide three of the most accomplished students per year with a 24-month fellowship to develop research projects integrating theoretical and empirical approaches 6. Provide career guidance and training in grant writing Specific Objectives - All Programs 7. Foster faculty and student networking across departments and colleges 8. Expose all students to the translational challenges in neuroscience 9. Encourage and provide support for all trainees to attend local and national conferences and workshops PUBLIC HEALTH RELEVANCE: The purpose of this program is to train a new generation of neuroscientists who will combine experimental and theoretical techniques to increase our understanding of the brain, to transition their discoveries from the lab bench to the clinic, and to invent new technologies to restore lost brain function.
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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
国内基金
海外基金
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