Integrated Interdisciplinary Training in Computational Neuroscience

描述（由申请人提供）：我们提出了在宾夕法尼亚大学的跨学科计划，以培养优秀的本科生和博士前学生在计算神经科学。宾大在基础和临床神经科学方面具有独特的优势，两者都与计算方法相结合。宾夕法尼亚大学的所有参与部门都是各自领域的国家领导者，有着悠久的研究和教育合作历史，并且位于一个校园内。本科生和研究生群体素质很高。宾夕法尼亚大学的24名教师，加上附近六个地区机构的教师参与其中，包括实验者，建模者和许多在这两个领域都有专业知识的教师。导师在计算神经科学的教育和研究培训方面拥有丰富的经验。该计划由三个部分组成：本科研究培训计划，本科生暑期研究计划和博士前培训计划。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。学生将开展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让每个学生通过模型，实验和数据分析的综合开发单独实现重大的研究贡献。我们建议在计算神经科学中开发一个综合的本科课程，包括一个新的，重点课程，并显着更新和扩展我们目前的计算神经科学研究生课程，所有包括大量的实验室组件。我们还将推出一个专门的研讨会系列，独立的本科生和研究生期刊俱乐部，年度务虚会和其他计划活动。我们计划的一个突出重点是将计算神经科学应用于神经和精神疾病。学生将进行临床轮换，分析临床获得的数据，并有在宾夕法尼亚大学的临床导向研究中心的计算项目旋转的选择。将开发一个夏季研究项目，主要吸引来自费城地区的本科生。附近的六所大学参加了这个暑期项目，包括斯沃斯莫尔大学、德雷克塞尔大学、坦普尔大学、哈弗福德大学、布林莫尔大学和林肯大学。暑期课程将旨在吸引和激励学生从事计算神经科学的研究生工作。学生人口将包括相当大比例的妇女和代表性不足的少数民族。

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.