Undergraduate and Graduate Training in Computational Neuroscience

描述(由申请人提供)：本提案是关于布兰代斯大学计算神经科学的T90/R90五年期培训计划，包括研究教育计划部分(R90)、本科生研究训练部分(R90)和博士前研究训练计划(T90)。拟议的计划要求每年资助6名本科生(R90)、4名符合NRSA条件的研究生(T90)和2名不符合NRSA条件的研究生(R90)。我们的目标是确定早期就业学生，并为他们提供正式和非正式的教育和培训，他们将需要发展成为下一代计算/定量神经科学家。长期目标和目标是增加在神经科学方面拥有强大的量化和建模技能的科学家的数量，因为这一群体将是了解健康和疾病中的大脑功能所必需的。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业知识，因此学员可以在多个分析层面上解决广泛的研究问题。之所以选择培训教师，是因为他们致力于使用理论和计算方法来了解神经系统在健康和疾病中的作用。学生将学习计算神经科学的课程，获得建立神经元、突触和网络模型的技能，并将这些技能用于各种独立的研究项目。两组未来的受训人员将成为目标：1)希望在神经科学领域工作的物理、数学和计算机科学学位课程的个人。这群人已经具备了重要的量化技能，但需要接受神经科学方面的培训。2)生物、生物化学、神经科学或心理学学位课程的个人，希望学习使用定量和计算方法作为其解决神经科学重要问题的能力的一部分。除了课程工作和实验室研究外，学生和受训人员还将参与大量其他活动，旨在提高他们的演讲技能、写作技能和与其他科学家合作的能力。所有学生和受训人员都将接受负责任的科学行为培训，来自代表性不足人群的学生和受训人员将包括在内。

DESCRIPTION (provided by applicant): 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 was 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.