Training in computational neuroscience: Integrating experiment, theory, and technology - T90 extension

计算神经科学培训：实验、理论和技术的结合 - T90 扩展

• 批准号: 9332540
• 负责人: Barbara Shinn-Cunningham
• 金额: $ 9.37万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-30 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9332540
• 关键词: Biological Sciences; Brain; Clinic; Educational workshop; Engineering; Faculty; Fellowship; Fostering; Funding; Goals; Grant; Knowledge; Laboratories; Laboratory Research; Learning; Mathematics; National Research Service Awards; Neurosciences; Research; Research Project Grants; Scientist; Students; Technology; Thinking; Time; Training; Training Programs; Translating; United States National Institutes of Health; Vocational Guidance; Writing; career; college; computational neuroscience; experience; faculty community; interest; pre-doctoral; programs; research study; skills; symposium; theories; undergraduate research

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

描述（由申请人提供）：该提案寻求 NIH 5 年的支持，以建立一个全校范围的培训计划，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。该提案由 RFA-DA-11-005 中的两个必需组件组成。第一个是 R90 组件，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实验室研究实践经验的结合。 R90 还将资助两名博士生。第二部分是全日制 Ruth L. Kirschstein 国家研究服务奖 (NRSA) 机构博士前培训计划 (T90)，该计划将资助 4 名博士前学生。该提案的目标是创造一种独特的计算神经科学培训体验，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、跨学科思维和转化技能，以解决神经科学领域的挑战，并促进具有相似兴趣的教师和学生组成强大的社区。具体目标 - 本科生培养计划 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强大背景 2. 每年为三名最有成就的学生提供为期 21 个月的研究经验，将理论与实践相结合3. 让学生接触计算神经科学研究职业的多样性 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实验神经科学方面的强有力的培训 5. 每年为三名最有成就的学生提供为期 24 个月的奖学金，用于开发结合理论和实证方法的研究项目 6. 提供资助写作方面的职业指导和培训 具体目标 - 所有项目 7. 促进跨院系和学院的教师和学生网络 8. 让所有学生面临神经科学 9. 鼓励并支持所有学员参加地方和国家会议和研讨会