Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis

计算神经科学和数据分析的本科生和研究生培训

基本信息

批准号：
10746527
负责人：
PAUL MILLER
金额：
$ 21.52万
依托单位：
BRANDEIS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-15 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10746527
关键词：
Attitude Behavior Biology Cognition Collaborations Computing Methodologies Coupled Data Data Analyses Disease Eligibility Determination Ensure Faculty Funding Goals Health Human Individual Institution Knowledge Laboratory Research Learning Machine Learning Mathematics Mentors Methods Molecular National Institute of Drug Abuse National Research Service Awards Nervous System Neurons Neurosciences Prospective cohort Psychology Research Research Project Grants Science Scientist Senior Scientist Students Synapses Teacher Professional Development Training Training Programs Underrepresented Populations Universities Work Writing career computational neuroscience computer science design doctoral student experience graduate student interdisciplinary collaboration laboratory experience mathematical model model building outreach pre-doctoral programs skills statistics undergraduate student

项目摘要

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.

项目概要这个题为“计算神经科学和数据分析培训”的培训项目的目标是帮助本科生和博士前学生获得他们所需的知识、技能和态度在科学事业中蓬勃发展，为神经科学研究带来定量方法这个新项目源于之前的计算神经科学培训项目。鉴于 NIDA 的支持不断增加，布兰迪斯大学最近到期。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，再加上布兰代斯最近在该领域聘用了人员，我们的新计划将包括更多计算机科学领域的参与此外，考虑到最近开设的应用数学专业。布兰迪斯和该领域的相关新教师，我们将培训实验室的数量增加了一倍研究神经科学数学建模的学生拟议的项目需要资金。支持 6 名本科生、4 名符合 NRSA 资格的研究生和 2 名不符合 NRSA 资格的研究生每年，我们将针对两批潜在的学员：1) 具有良好先修知识的个人。希望从事神经科学工作的定量方法经验 2) 有背景的个人。希望学习运用定量和计算方法的心理学、神经科学和生物学专业人士我们将继续优先考虑外展活动。旨在确保来自代表性不足人群的学员被纳入我们的计划中。有两位互补的导师，因此他们参与定量和实验实验室 26 名培训教师拥有从人类到神经科学领域的研究专业知识。对细胞和分子神经科学的认知，因此各种各样的研究问题，在许多方面培训师可以根据实际情况选择分析级别。致力于使用理论和计算方法以及跨学科合作学生将了解健康和疾病中的神经系统学生将学习统计学、数据课程。分析、计算神经科学，获得构建神经元、突触和神经元模型的技能网络，并将其应用于各种独立研究项目以及课程作业和研究中。实验室研究、学生和实习生将从事大量其他设计的活动提高他们的口语能力、写作能力以及与其他科学家合作的能力。学员将接受负责任的科学行为培训，并与高级官员互动其他机构的科学家。