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

9987588大卫·S. IGERT：认知神经基础的跨学科培训这个综合研究生教育和研究培训（IGERT）奖支持在卡内基梅隆大学和匹兹堡大学的认知神经基础中心建立一个新的多学科，多机构，研究生教育和研究培训计划。 CNBC为各个领域的学生提供跨学科培训，这些学生试图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部门是计算机科学，心理学，机器人技术和统计学。 在匹兹堡大学，它们是数学，神经生物学，神经科学和心理学。 IGERT培训计划是一种新的交叉培训体验，学生在其家庭学科以外的领域发展专业能力。 例如，一个计算机科学专业的学生，他的研究涉及海马体的计算机建模，他可以在神经生理学实验室工作，学习从行为大鼠的海马体中进行并行多单元记录。 一个做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计划的第一年，学生将通过课程作业，定向阅读和实验室观察的组合获得必要的背景知识。 在第二年，学生将在他们的主机实验室工作一半的时间来完成自己的一个小的研究项目。IGERT是一个NSF范围内的计划，旨在满足教育博士的挑战。科学家和工程师与多学科背景和技术，专业和个人技能所需的未来的职业需求。 该计划旨在通过建立新的，创新的研究生教育和培训模式，促进研究生教育的文化变革，为超越传统学科界限的合作研究创造肥沃的环境。在该计划的第三年，该奖项将颁发给19个机构，这些机构的计划涵盖了NSF支持的所有科学和工程领域。这个特定奖项的知识焦点位于生物科学局;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;以及教育和人力资源。

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.