Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis

项目摘要 这项名为“计算神经科学和数据分析培训”的培训计划的目标是 帮助本科生和博士后学生获得他们需要的知识、技能和态度 在为神经科学研究带来量化方法的科学事业中蓬勃发展，并 行为。这一新计划源于之前在计算神经科学方面的培训计划 在NIDA支持了10年后，布兰迪斯大学最近到期了。鉴于不断增加的 机器学习在数据分析和解决数据丰富的科学问题中的重要性，加上 最近Brandeis在该领域招聘，我们的新计划将包括更多来自计算机科学的参与 拥有该领域专业知识的教职员工。此外，鉴于最近在纽约开设了一个应用数学专业 Brandeis和相关的新教师，我们将培训实验室的数量翻了一番 从事神经科学数学建模工作的学生。拟议中的计划需要资金 支持6名本科生、4名符合NRSA条件的研究生和2名不符合NRSA条件的毕业生 每年都有学生。我们将针对两组潜在的受训人员：1)有很强的前科的个人 有希望从事神经科学工作的量化方法经验。2)有背景的个人 在心理学、神经科学和生物学方面，希望学习使用量化和计算 解决神经科学中重要问题的方法。我们将继续优先开展外展活动。 旨在确保来自代表性不足人群的受训人员被纳入我们的计划。学生们将 有两个互补的导师，因此他们参与了定量和实验的实验 神经科学的方法。26名培训教师拥有从人类 对细胞和分子神经科学的认识，所以各种各样的研究问题，在无数 受训人员可获得分析水平。培训人员的选择是基于示范 致力于使用理论和计算方法以及跨学科合作来 了解神经系统在健康和疾病中的作用。学生们将学习统计、数据等课程 分析，计算神经科学，获得建立神经元、突触和 网络，并在各种独立研究项目中使用这些网络。除了课程作业和 实验室研究、学生和实习生将参加大量其他设计的活动 提高他们的说话能力、写作能力和与其他科学家合作的能力。所有学生 受训者将接受负责任的科学行为方面的培训，并将与高级 其他机构的科学家。

Project Summary The goal of this training program entitled “Training in Computational Neuroscience and Data Analysis” is to help undergraduate and predoctoral students gain the knowledge, skills, and attitudes they need to flourish in a scientific career that brings quantitative approaches to the study of neuroscience and behavior. This new program arises from a prior training program in Computational Neuroscience at Brandeis University that expired recently after 10 years of NIDA support. Given the increasing importance of machine learning in data analysis and solving of data-rich scientific problems, coupled with recent Brandeis hires in the field, our new program will include more participation from computer science faculty with expertise in the field. Also, given the recent introduction of an applied mathematics major at Brandeis and associated new faculty in the field, we have doubled the number of training labs with students working on mathematical modeling in neuroscience. The proposed program requests funding to support 6 undergraduates, 4 NRSA eligible graduate students, and 2 non-NRSA eligible graduate students each year. We will target two cohorts of prospective trainees: 1) Individuals with strong prior experience with quantitative methods who wish to work in neuroscience. 2) Individuals with backgrounds in psychology, neuroscience and biology who wish to learn to employ quantitative and computational methods to tackle important problems in neuroscience. We will continue prioritizing outreach activities aimed at ensuring trainees from underrepresented populations are included in our program. Students will have two complementary mentors so they participate in labs with both quantitative and experimental approaches to neuroscience. The 26 training faculty have research expertise ranging from human cognition to cellular and molecular neuroscience, so a wide variety of research problems, at numerous levels of analysis are available to trainees. The training faculty were chosen based on demonstrated commitment to the use of theoretical and computational methods and interdisciplinary collaboration to understand the nervous system in health and disease. Students will take courses in statistics, data analysis, computational neuroscience, obtain skills in building models of neurons, synapses, and networks, and employ these in a variety of independent research projects. 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 will interact with senior scientists at other institutions.