Computing and the Brain: Training the next generation of neuroscientists

我们提出了一个本科生和研究生（NRSA和非NRSA）的培训计划， 计算神经科学我们的校园历史悠久， 积极的教学和研究在这一领域，与教师导师分布在许多 部门和学校，包括生理学和生物物理学，生物结构， 计算机科学与工程、应用数学、生物学、心理学和 生物工程。对本科生和研究生教育和研究的支持将 促进这一领域的持续发展，加强理论家之间的互动， 实验学家，扩大和整合courseworic在定量方法， 神经科学，加强本科生和研究生之间的互动， 增加本科生研究的机会，并吸引社会各界 跨校园，以加强我们已经优秀的跨学科交流， 协作 我们的本科培训计划将建立一个为期两年的序列， 计算神经科学，每年最多可招收12名学员， 神经生物学或计算专业（物理学，计算机科学和 工程、应用和计算数学）。在秋季学期， 一系列研讨会，向他们介绍教师的研究。学员们将共同 核心课程包括实验室神经生物学课程和定量课程， 其中实验室部分通过并行计算课程来增强。选择 个别课程中的额外选修课由辅导委员会指导。 所有学生将完成至少1个，最好是4个季度的指导实验室 research. 我们的研究生培训计划将支持多达6名学生加入，无论是从 神经生物学和行为跨部门计划或从部门毕业 程序.学生将在第一年结束时申请培训补助金支持， 我们可以制定一个核心课程，包括两个神经生物学课程和两个定量的 课程量身定制的课程，包括从以下课程中选择的选修课： 计算神经科学、数学、计算机科学和物理学将成为 与指导委员会协商制定。两周一次的新闻俱乐部将调查 数学和系统神经科学论文，并允许学生研究 介绍。学生将有机会在新的计算课程教学， 本科神经生物学课程 所有学员将参加每月一次的研讨会，并在年度研讨会上介绍他们的研究成果。 退 该计划将由副教授Adrienne Falrhall，生理学和 生物物理学，和比尔穆迪教授的领导团队，生物学教授，主任 本科神经生物学课程;耳鼻喉科副教授大卫佩里<el 和生理学和生物物理学;教授弗雷德Rieke，生理学和生物物理学，前 生理学和生物物理学研究生课程主任和助理教授Eric Shea- 布朗应用数学

We propose an undergraduate and graduate (NRSA and non-NRSA) training program in computational neuroscience. Our campus has a rich history and an enonnous breadth of active teaching and research in this area, with faculty mentors distributed through many departments and schools, including Physiology and Biophysics, Biological Structure, Computer Science and Engineering, Applied Math, Biology, Psychology and Bioengineering. Support for undergraduate and graduate education and research will foster the ongoing growth of this area, enhance interaction between theorists and experimentalists, expand and integrate courseworic in quantitative approaches in neuroscience, enhance interactions between undergraduate and graduate students, enhance opportunities for undergraduate research and draw together the community across campus to strengthen our already excellent interdisciplinary exchange and collaboration. Our undergraduate training program will establish a two-year sequence in computational neuroscience, with entry points for up to 12 trainees yearly either from neurobiology or from a computational major (Physics, Computer Science and Engineering, Applied and Computational Mathematics). In fall quarter students attend a series of seminars to introduce them to faculty research. Trainees wiil take a common core cunicuium including both laboratory neurobiology courses and quantitative courses, where the laboratory section is enhanced with a parallel computational course. Choice of additional electives in an individualized curriculum is guided by a mentoring committee. All students will complete at least 1 and preferably 4 quarters of mentored laboratory research. Our graduate training program will support up to 6 students joining either from the Neurobiology & Behavior interdepartmental program or from departmental graduate programs. Students will apply for training grant support at the end of the first year and can7 out a core curriculum consisting of two neurobiology courses and two quantitative courses. Individually tailored curricula including electives selected from offerings in computational neuroscience, mathematics, computer science and physics will be devised in consultation with a mentoring committee. A biweekly joumal club will survey mathematical and systems neuroscience papers and allow student research presentations. Students will have teaching opportunities in new computational courses in the undergraduate Neurobiology program. All trainees will attend a monthly seminar and and present their research at an annual retreat. The program will be directed by Assoc. Prof. Adrienne Falrhall, Physiology and Biophysics, and a leadership team of Prof. Bill Moody, Professor of Biology, Director of the Undergraduate Neurobiology Program; Assoc. Prof. David Peri<el, Otolaryngology and Physiology and Biophysics; Prof. Fred Rieke, Physiology and Biophysics, former Director of the Physiology and Biophysics graduate program and Asst. Prof. Eric Shea- Brown, Applied Mathematics.