Interdisciplinary Training in Computational Neuroscience

项目概要 理由：要了解大脑的许多疾病，有必要解决其复杂性。 正在收集越来越大和复杂的数据集，但是用于分析和建模的工具 数据尚不可用。迫切需要更多接受过计算神经科学培训的研究人员。 该项目支持计算神经科学（TPCN）的跨学科研究生培训项目 卡内基梅隆大学 (CMU) 和匹兹堡大学 (Pitt) 以及位于 本科生计算神经科学，可供来自大学和大学的学生使用 美国各地的大学。 卡内基梅隆大学 (CMU) 是定量领域的世界领导者和创新者，例如 机器学习、计算机科学和人工智能，最近，神经科学已成为一门新兴学科 大学战略发展的领域。匹兹堡大学以其临床实力而闻名 和生物医学研究计划。 TPCN 建立在一个高度学院化、跨学科的环境中 我们的认知神经基础中心 (CNBC)，由卡耐基梅隆大学和皮特大学联合运营。美国全国广播公司财经频道 成立于1994年，旨在促进脑功能神经机制的跨学科研究，以及 目前共有 162 名教职员工，分布在 32 个系。 目标：TPCN 的目标是： 1）支持神经科学领域博士生的计算培训， 2) 通过增强现有的 硕士到博士的培训计划，帮助他们为计算方面的高级研究生培训做好准备 神经科学, 3）通过正式的学术辅修课程扩大本科生的计算训练 计算神经科学， 4) 支持本科生暑期项目，该项目结合了为期两周的“训练营”概述 具有 8 周研究经验的计算神经科学， 5) 创建不仅为我们自己的学生服务而且在网络上公开提供的在线材料，以及 6) 通过与少数族裔服务机构建立的关系加强我们的招聘。

Project Summary Rationale: To understand the many disorders of the brain it is necessary to grapple with its complexity. Increasingly large and complicated data sets are being collected, but the tools for analyzing and modeling the data are not yet available. More researchers trained in computational neuroscience are desperately needed. This project supports interdisciplinary graduate training programs in computational neuroscience (TPCN) at both Carnegie Mellon University (CMU) and the University of Pittsburgh (Pitt), and a summer school in computational neuroscience for undergraduates, which are available to students coming from colleges and universities throughout the United States. Carnegie Mellon University (CMU) is a world leader and innovator in quantitative fields such as machine learning, computer science, and artificial intelligence, and recently, neuroscience has emerged as a field for strategic growth at the university. The University of Pittsburgh is renowned for the strength of its clinical and biomedical research programs. The TPCN is set within a highly collegial, cross-disciplinary environment of our Center for the Neural Basis of Cognition (CNBC), which is operated jointly by CMU and Pitt. The CNBC was established in 1994 to foster interdisciplinary research on the neural mechanisms of brain function, and now comprises 162 faculty having appointments in 32 departments. Goals: The goals of the TPCN are to: 1) Support computational training of PhD students across the neurosciences, 2) Broaden accessibility for students historically underrepresented in STEM by augmenting an existing MS-to-PhD training program that prepares them for advanced graduate training in computational neuroscience, 3) Expand computational training of undergraduate students through a formal academic minor in computational neuroscience, 4) Support an undergraduate summer program that combines a two-week “boot-camp” overview of computational neuroscience with an 8-week research experience, 5) Create online materials that not only serve our own students but are publicly available on the web, and 6) Enhance our recruitment through relationships we have developed with minority-serving institutions.