Integrated Interdisciplinary Training in Computational Neuroscience.

计算神经科学综合跨学科培训。

基本信息

批准号：
7293611
负责人：
Leif H. Finkel
金额：
$ 36.95万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-09-30 至 2011-07-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): We propose an interdisciplinary program at the University of Pennsylvania to train outstanding undergraduate and predoctoral students in computational neuroscience. Penn offers unique strengths in basic and clinical neuroscience, both integrated with computational approaches. All participating departments at Penn are national leaders in their field, have a long history of research and educational collaborations, and are located in close proximity on a single campus. The undergraduate and graduate student populations are highly qualified. Twenty-four faculty at Penn, plus faculty at six nearby regional institutions are involved, including experimentalists, modelers, and many faculty with expertise in both domains. The preceptors have extensive experience in education and research training in computational neuroscience. The program consists of three components: an undergraduate research training program, a summer research program for undergraduates, and a predoctoral training program. The focus is on directly integrating Neuroscience and quantitative studies through course work and extensive research training. Students will carry out integrated experimental/modeling research projects directed at computational problems. The structure and strategy of our program is designed to have each student individually achieve a significant research contribution through the integrated development of model, experiment, and data analysis. We propose to develop an integrated undergraduate curriculum in computational neuroscience including a new, keystone course, and to significantly update and expand our current graduate courses in computational neuroscience-all including substantial laboratory components. We will also introduce a dedicated seminar series, separate undergraduate and graduate journal clubs, an annual retreat, and other programmatic activities. A distinguishing focus of our program is on application of computational neuroscience to neurological and psychiatric disorders. Students will undertake clinical rotations, analyze clinically obtained data, and have the option of rotations on computational projects in Penn's clinically-directed research centers. A summer research program will be developed, which will attract undergraduates primarily from the Philadelphia region. Six nearby universities are participating in this summer program, including Swarthmore, Drexel, Temple, Haverford, Bryn Mawr, and Lincoln Universities. The summer program will be designed to engage and excite students to pursue graduate work in computational neuroscience. The student population will include a significant proportion of women and underrepresented minorities.

描述（由申请人提供）：我们在宾夕法尼亚大学提出了一项跨学科计划，以培训计算神经科学的杰出本科生和前学生。宾夕法尼亚州在基本和临床神经科学方面具有独特的优势，均与计算方法融为一体。宾夕法尼亚州的所有参与部门都是其领域的国家领导人，拥有悠久的研究和教育合作历史，并且位于一个校园中。本科生和研究生人数具有很高的资格。宾夕法尼亚州的二十四名教职员工以及附近六个地区机构的教职员工，包括实验家，建模者和许多在两个领域都具有专业知识的教师。这些受体在计算神经科学方面具有丰富的教育和研究培训经验。该计划由三个组成部分组成：一项本科研究培训计划，一项针对本科生的夏季研究计划和培训前培训计划。重点是通过课程工作和广泛的研究培训直接整合神经科学和定量研究。学生将执行针对计算问题的综合实验/建模研究项目。我们计划的结构和策略旨在通过模型，实验和数据分析的综合开发来使每个学生单独实现重要的研究贡献。我们建议在计算神经科学中开发一项综合的本科课程，包括新的Keystone课程，并大大更新和扩展我们当前的计算神经科学研究生课程，包括大量实验室组件。我们还将介绍一个专门的研讨会系列，独立的本科和研究生期刊俱乐部，年度静修和其他程序化活动。我们计划的一个区别重点是将计算神经科学应用于神经系统和精神疾病。学生将进行临床轮换，分析临床获得的数据，并可以选择宾夕法尼亚州临床指导的研究中心中的计算项目旋转。将制定一项夏季研究计划，该计划将吸引主要来自费城地区的本科生。附近的六所大学正在参加这项夏季课程，包括Swarthmore，Drexel，Temple，Haverford，Bryn Mawr和Lincoln大学。夏季计划将旨在吸引和激发学生从事计算神经科学领域的研究生工作。学生群体将包括相当一部分妇女和代表性不足的少数民族。