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

描述（由申请人提供）：该提案寻求5年的NIH支持，以建立一个校园范围的培训计划，其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的培训。此外，他们将学习如何将他们的研究想法从实验室“翻译”到临床。该提案由RFA-DA-11-005中要求的两个部分组成。第一个是R90组件，将资助六名全日制本科生研究实习生，为他们提供课程作业和动手实验室研究经验的结合。R90还将资助两名博士生。第二个组成部分是全日制Ruth L. Kirschstein国家研究服务奖（NRSA）机构博士前培训计划（T90），将资助4名博士生。这项提议的目标是在计算神经科学领域创造一个独特的训练体验，在这里，对计算神经科学感兴趣的年轻科学家、数学家和工程师将在研究大脑的理论和实验方法上接受训练。此外，他们将学习如何将他们的研究想法从实验室“翻译”到临床。该计划将整合基础知识，跨学科思维和翻译技能，以解决神经科学中的挑战，并促进具有相似兴趣的教师和学生的强大社区。具体目标-本科培养计划为生物科学专业的学生提供数学和工程概念在神经科学中的应用的强大背景。每年为三名最有成就的学生提供21个月的研究经验，将理论和实证方法相结合。让学生接触到计算神经科学研究职业的多样性。为拥有工程和数学学位的学生提供强有力的实验神经科学培训。每年向三名最有成就的学生提供为期24个月的奖学金，以开发整合理论和实证方法的研究项目。提供职业指导和助学金写作培训，具体目标-所有项目培养跨院系和学院的教师和学生网络。让所有学生接触神经科学领域的转化挑战。鼓励和支持所有受训人员参加地方和国家的会议和讲习班

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