IGERT: Integrating New Technologies with Cognitive Neuroscience

IGERT：将新技术与认知神经科学相结合

• 批准号: 0549352
• 负责人: David Touretzky
• 金额: $ 254万
• 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: 2006
• 资助国家: 美国
• 起止时间: 2006-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0549352&HistoricalAwards=false
• 关键词: IGERT; Integrating; New; Technologies; Cognitive

This Integrative Graduate Education and Research Training (IGERT) project will develop new directions for an existing cross-disciplinary training program offered by the Center for the Neural Basis of Cognition (CNBC) at Carnegie Mellon University and the University of Pittsburgh. Eleven doctoral programs are formally affiliated with the program, which trains young scientists in interdisciplinary approaches to understanding how cognitive processes arise from neural mechanisms. One half of the new initiative concerns new technologies for experimental neuroscience, e.g., optical, magnetic resonance, and magnetoencephalographic approaches to functional brain imaging, and analysis of neuronal population activity patterns using advanced statistical and data visualization algorithms. The complementary half concerns the applications of systems and cognitive neuroscience to technology development, in areas such as neural prostheses, neural control, and cognitive robotics. The most successful aspects of the current CNBC IGERT program will be retained: a common core curriculum, use of multiple advisors from different disciplines, and a competitive proposal process for selecting students for funding.The project will train a new breed of scientists to achieve the fullest possible integration of new technologies into cognitive and systems neuroscience research. It will also complement a new initiative at Carnegie Mellon, in collaboration with Spelman College, to establish undergraduate courses in cognitive robotics at several historically black colleges and universities, thereby increasing the pool of minority applicants to graduate programs such as the CNBC program. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, 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 innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.

这个综合研究生教育和研究培训（IGERT）项目将为卡内基·梅隆大学和匹兹堡大学的神经认知基础（CNBC）提供新的方向，为现有的跨学科培训计划（CNBC）提供。 11个博士课程正式隶属该计划，该计划培训了年轻科学家的跨学科方法，以了解认知过程是如何由神经机制引起的。新计划的一半涉及实验性神经科学的新技术，例如，使用高级统计和数据可视化算法对功能性脑成像的光学，磁共振和磁脑化方法以及神经元种群活性模式的分析。 互补的一半涉及在神经假体，神经控制和认知机器人技术等领域的系统和认知神经科学在技术发展中的应用。 当前CNBC IGERT计划最成功的方面将保留：一种通用核心课程，使用来自不同学科的多个顾问的使用以及为选择学生选择资助的竞争提案过程。该项目将培训新的科学家，以实现新技术的最大可能集成到认知和系统神经科学研究中。 它还将与斯佩尔曼学院合作，在卡内基·梅隆（Carnegie Mellon）的一项新举措中，在几个历史悠久的黑人学院和大学中建立认知机器人学的本科课程，从而增加了少数民族申请人群来研究研究生课程，例如CNBC计划。 IGERT是一项旨在应对美国博士学位的挑战。具有跨学科背景的科学家和工程师，所选学科的深刻知识以及未来职业需求所需的技术，专业和个人技能。该计划旨在通过在肥沃的环境中建立创新的研究生教育和培训的新模型来促进研究生教育的文化变革，以超越传统学科界限的合作研究。