IGERT Full Proposal: Innovative Cross-Disciplinary Training in Neuroscience and Computation

IGERT 完整提案：神经科学和计算领域的创新跨学科培训

• 批准号: 9987588
• 负责人: David Touretzky
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9987588&HistoricalAwards=false
• 关键词: IGERT; Full; Proposal; Innovative; Cross

9987588David S. Touretzky - Carnegie Mellon UniversityIGERT: Cross-Disciplinary Training in the Neural Basis of CognitionThis Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a new multidisciplinary, multi-institution, graduate training program of education and research within the Center for the Neural Basis of Cognition at Carnegie Mellon University and the University of Pittsburgh. The CNBC offers interdisciplinary training to students in a variety of fields who seek to understand how cognitive processes arise from neural mechanisms. Participating departments at Carnegie Mellon are Computer Science, Psychology, Robotics, and Statistics. At the University of Pittsburgh they are Mathematics, Neurobiology, Neuroscience, and Psychology. The IGERT training program is a new kind of cross-over training experience in which students develop professional competence in an area outside their home discipline. For example, a computer science student whose research involves computer modeling of the hippocampus could work in a neurophysiology lab, learning to do parallel multiunit recording from the hippocampus of behaving rats. A psychology student doing functional brain imaging could receive cross-over training in statistical analysis techniques for functional imaging data. During their first year in the IGERT program, students will acquire necessary background knowledge through a combination of coursework, directed reading, and observation in the lab. In the second year students will work half-time in their host lab to complete a small research project of their own.IGERT is an NSF-wide program intended to meet the challenges of educating Ph.D. scientists and engineers with the multidisciplinary backgrounds and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing new, innovative models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries. In the third year of the program, awards are being made to nineteen institutions for programs that collectively span all areas of science and engineering supported by NSF. The intellectual foci of this specific award reside in the Directorates for Biological Sciences; Computer and Information Science and Engineering; Social, Behavioral, and Economic Sciences; Mathematical and Physical Sciences; and Education and Human Resources.

9987588David S. Touretzky - 卡内基梅隆大学IGERT：认知神经基础的跨学科培训此综合研究生教育和研究培训 (IGERT) 奖项支持在以下领域建立新的多学科、多机构、研究生教育和研究培训计划卡内基梅隆大学和匹兹堡大学认知神经基础中心。 CNBC 为各个领域的学生提供跨学科培训，帮助他们了解认知过程如何从神经机制中产生。 卡内基梅隆大学的参与院系包括计算机科学、心理学、机器人学和统计学。 匹兹堡大学的专业是数学、神经生物学、神经科学和心理学。 IGERT 培训项目是一种新型的跨界培训体验，学生可以在其专业学科之外的领域培养专业能力。 例如，一名计算机科学专业的学生，​​其研究涉及海马体的计算机建模，可以在神经生理学实验室工作，学习对行为老鼠的海马体进行并行多单元记录。 进行功能性脑成像的心理学学生可以接受功能性成像数据统计分析技术的交叉培训。 在 IGERT 项目的第一年，学生将通过课程作业、定向阅读和实验室观察相结合的方式获得必要的背景知识。 第二年，学生将在自己的实验室进行半日制工作，完成自己的一个小型研究项目。IGERT 是一个 NSF 范围内的项目，旨在应对博士生教育的挑战。具有多学科背景以及未来职业需求所需的技术、专业和个人技能的科学家和工程师。 该计划旨在通过在超越传统学科界限的合作研究的肥沃环境中建立新的、创新的研究生教育和培训模式，来促进研究生教育的文化变革。在该计划的第三年，十九个机构因涵盖 NSF 支持的科学和工程所有领域的项目而获奖。该奖项的智力重点属于生物科学理事会；计算机与信息科学与工程；社会、行为和经济科学；数学和物理科学；以及教育和人力资源。