IGERT Full Proposal: Computational Neurobiology Graduate Program

9987614 Terry Sejnowski-加州大学圣迭戈分校：计算神经生物学研究生培训计划这一综合性研究生教育和研究培训(IGERT)奖支持建立一个多学科的计算神经生物学教育和研究研究生培训计划。其目标是培养具有广泛科学和技术技能的新一代科学家和工程师，他们同样熟悉测量大规模大脑活动，使用先进的计算技术分析数据，并开发新的大脑发育和功能模型。这一综合培训计划以加州大学圣迭戈分校生物系和索尔克研究所为中心，但包括来自物理、化学、心理学、认知科学、电气工程、计算机科学和数学以及生物学和神经科学的教职员工。该培训计划将通过实验室之间的合作研究、工业实习以及在国外进行研究的机会，为所有学生提供广泛的先进实验和计算技术的实践经验。这些教师将参与外展计划，以鼓励和准备代表不足的少数族裔在计算神经生物学领域的职业生涯。该培训计划的研究领域包括：(1)突触生长和可塑性；(2)神经动力学；(3)神经种群编码；(4)视觉感知和记忆；(5)随机学习算法；(6)脑功能成像。IGERT是一个NSF范围的计划，旨在应对培养具有多学科背景的博士科学家和工程师的挑战，以及未来职业需求所需的技术、专业和个人技能。该项目旨在通过建立新的、创新的研究生教育和培训模式，在一个超越传统学科界限的合作研究的肥沃环境中，催化研究生教育的文化变革。在该计划的第三年，19个机构被授予奖项，这些项目共同涵盖了NSF支持的所有科学和工程领域。这一具体奖项的知识焦点位于以下理事会：生物科学；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；教育和人力资源。

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.