Undergraduate and Graduate Training in Computational Neuroscience

该提案是针对计算技术领域的五年T90/R90培训计划， 布兰迪斯大学神经科学研究教育计划 部分（R90），本科研究培训部分（R90），以及 博士前研究培训计划（T90）。该计划要求提供资金 支持6名本科生（R90），4名NRSA合格的研究生（T90），和2名 非NRSA合格的研究生（R90）每年。我们的目标是尽早发现 职业学生，并为他们提供正式和非正式的教育和培训， 将需要发展到下一代的计算/定量 神经科学家长期目标和目的是增加 科学家在神经科学中具有强大的定量和建模技能，因为这一群体将 了解大脑在健康和疾病中的功能。13名培训教师 拥有从人类认知到细胞和分子神经科学的研究专长， 一个广泛的研究问题，在许多层次的分析是可用的， 实习生选择培训教师是因为他们证明了 致力于使用理论和计算方法来理解 神经系统健康与疾病学生将学习计算 神经科学，获得建立神经元，突触和网络模型的技能， 在各种独立的研究项目中使用它们。两个前瞻性队列 学员将有针对性：1）在物理，数学，和 计算机科学谁希望在神经科学工作。这群人已经 重要的定量技能，但需要神经科学方面的培训。2)个人学位 生物学，生物化学，神经科学或心理学课程，希望学习 采用定量和计算方法作为他们解决问题的能力的一部分， 神经科学中的重要问题。除了课程工作和实验室研究外， 学生和受训人员将参加大量其他活动， 提高他们的口语技能，写作技能，以及与他人合作的能力， 科学家所有学生和学员将接受培训，在负责任的行为 将包括来自代表性不足人口的学生和受训人员。

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.