Undergraduate and Graduate Training in Computational Neuroscience

该提案针对的是为期五年的T90/R90计算培训计划 布兰迪斯大学神经科学包含研究教育计划 部分(R90)，本科研究培训部分(R90)， 博士前研究培训计划(T90)。拟议中的计划需要资金 支持6名本科生(R90)、4名符合NRSA资格的研究生(T90)和2名 每年非NRSA合格研究生(R90)。我们的目标是及早发现 并为他们提供正规和非正规的教育和培训 将需要发展到下一代计算/量化 神经学家。长期目标和目标是增加 在神经科学方面有很强的量化和建模技能的科学家，就像这群人所做的那样 需要了解大脑在健康和疾病中的功能。13名培训教员 拥有从人类认知到细胞和分子神经科学的研究专长，所以 各种各样的研究问题，在许多层面上的分析都可以用来 实习生。培训人员之所以被选中，是因为他们展示了 致力于使用理论和计算方法来理解 神经系统与健康和疾病。学生们将选修计算机课程 神经科学，获得建立神经元、突触和网络模型的技能，以及 在各种独立研究项目中使用这些工具。两个潜在的队列 学员的目标是：1)物理、数学和数学学位课程的个人 希望从事神经科学工作的计算机科学专业。这个队列已经有了 重要的量化技能，但需要在神经科学方面进行培训。2)学位方面的个人 希望学习生物、生物化学、神经科学或心理学的课程 使用定量和计算方法作为他们处理问题的能力的一部分 神经科学中的重要问题。除了课程作业和实验室研究外， 学生和实习生将参加大量其他旨在 提高他们的口语、写作能力和与他人合作的能力 科学家。所有学生和实习生都将接受负责任的行为培训 理科，以及来自代表性不足人群的学生和实习生将被包括在内。

This proposal is for a five-year T90/R90 training program in Computational Neuroscience at Brandeis University containing the Research Education Program component (R90), the Undergraduate Research Training Component (R90), and the Predoctoral Research Training Program (T90). The proposed program requests funding to support 6 undergraduates (R90), 4 NRSA eligible graduate students (T90), and 2 non-NRSA eligible graduate students (R90) each year. Our goal is to identify early career students and provide them the formal and informal education and training they will need to develop into the next generation of computational/quantitative neuroscientists. The long-term goals and objectives are to increase the number of scientists with strong quantitative and modeling skills in neuroscience, as this cohort will be needed to understand brain function in health and disease. The 13 training faculty has research expertise from human cognition to cellular and molecular neuroscience, so a wide range of research problems, at numerous levels of analysis are available to trainees. The training faculty were chosen because they have demonstrated commitment to the use of theoretical and computational methods to understand the nervous system in health and disease. Students will take courses in computational neuroscience, obtain skills in building models of neurons, synapses, and networks, and employ these in a variety of independent research projects. Two cohorts of prospective trainees will be targeted: 1) Individuals in degree programs in Physics, Math, and Computer Science who wish to work in neuroscience. This cohort already has significant quantitative skills, but needs training in neuroscience. 2) Individuals in degree programs in Biology, Biochemistry, Neuroscience, or Psychology who wish to learn to employ quantitative and computational methods as part of their ability to tackle important problems in neuroscience. In addition to course work and laboratory research, students and trainees will be engaged in a large number of other activities designed to enhance their speaking skills, writing skills, and ability to collaborate with other scientists. All students and trainees will receive training in the responsible conduct of science, and students and trainees from underrepresented populations will be included.