IGERT Full Proposal: Computational Neurobiology Graduate Program

IGERT 完整提案：计算神经生物学研究生项目

• 批准号: 9987614
• 负责人: Terrence Sejnowski
• 金额: --
• 依托单位: University of California-San Diego
• 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=9987614&HistoricalAwards=false
• 关键词: IGERT; Full; Proposal; Computational; Neurobiology

9987614Terry Sejnowski - University of California, San DiegoIGERT: Graduate Training Program in Computational Neurobiology This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a multidisciplinary graduate training program of education and research in computational neurobiology. The goal is to train a new generation of scientists and engineers with a broad range of scientific and technical skills who are equally at home measuring large-scale brain activity, analyzing the data with advanced computational techniques, and developing new models for brain development and function. This integrative training program is centered in the Department of Biology at UCSD and the Salk Institute, but includes faculty members from physics, chemistry, psychology, cognitive science, electrical engineering, computer science, and mathematics, as well as from biology and neuroscience. The training program will give all students hands-on experience in a wide range of advanced experimental and computational techniques through collaborative research between laboratories, industrial internships, and the opportunity to pursue research abroad. The faculty will participate in outreach programs to encourage and prepare underrepresented minorities for a career in computational neurobiology. Research areas in the training program include: (1) synaptic growth and plasticity; (2) neural dynamics; (3) neural population coding; (4) visual perception and memory; (5) stochastic learning algorithms; and (6) functional brain imaging.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; Engineering; and Education and Human Resources.

9987614 Terry Sejnowski-加利福尼亚大学圣地亚哥特大学：计算神经生物学研究生培训计划该综合研究生教育和研究培训（IGERT）奖支持建立一项多学科研究生培训的计算神经生物学教育和研究计划。 目的是培训新一代的科学家和工程师具有广泛的科学和技术技能，他们同样在家中测量大型大脑活动，用高级计算技术分析数据，并为大脑发育和功能开发新的模型。该综合培训计划以UCSD和SALK研究所的生物学为中心，但包括物理，化学，心理学，认知科学，电气工程，计算机科学和数学的教职员工，以及生物学和神经科学。 该培训计划将通过实验室，工业实习和在国外进行研究的机会，为所有学生提供各种高级实验和计算技术的实践经验。该学院将参加外展计划，以鼓励和准备代表性不足的少数群体从事计算神经生物学职业。 培训计划中的研究领域包括：（1）突触增长和可塑性； （2）神经动力学； （3）神经人口编码； （4）视觉感知和记忆； （5）随机学习算法； （6）功能性脑成像。IGERT是一个旨在应对教育博士学位的挑战的NSF范围计划。具有多学科背景的科学家和工程师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新的，创新的研究生教育模型来促进研究生教育的文化变化，以超越传统学科界限的合作研究。在该计划的第三年中，正在向十九个机构颁发奖项，用于统治NSF支持的所有科学和工程领域的计划。该特定奖项的知识焦点属于生物科学局；计算机和信息科学与工程；社会，行为和经济科学；数学和物理科学；工程;以及教育和人力资源。