Computing and the brain: training the next generation of neuroscientists

描述（由申请人提供）：我们建议本科生和研究生（NRSA和非NRSA）在计算神经科学方面的培训计划。我们的校园在这一领域有着丰富的历史和广泛的活跃教学和研究，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，加强理论家和实验家之间的互动，扩展和整合神经科学定量方法的课程，加强本科生和研究生之间的互动，增加本科生研究的机会，并将整个校园的社区聚集在一起，加强我们已经很好的跨学科交流与合作。我们的本科培训计划将建立一个为期两年的计算神经科学序列，每年最多有12名来自神经生物学或计算专业（物理，计算机科学与工程，应用与计算数学）的学员。在秋季学期，学生参加一系列研讨会，向他们介绍教师的研究。学员将学习共同的核心课程，包括实验室神经生物学课程和定量课程，其中实验室部分将辅以并行计算课程。在个性化课程中额外选修课的选择由指导委员会指导。所有学生都将完成至少1个季度，最好是4个季度的实验室研究。我们的研究生培训计划将支持最多6名来自神经生物学和行为跨部门项目或部门研究生项目的学生加入。学生将在第一年结束时申请培训补助金支持，并进行核心课程，包括两门神经生物学课程和两门定量课程。个别定制的课程，包括从计算神经科学、数学、计算机科学和物理课程中选择的选修课，将在与指导委员会协商后设计。一个双周期刊俱乐部将调查数学和系统神经科学论文，并允许学生发表研究报告。学生将有机会在本科神经生物学课程中教授新的计算课程。所有受训者将参加每月一次的研讨会，并在每年一次的静修会上展示他们的研究成果。该项目将由协会指导。生理学和生物物理学教授Adrienne Fairhall，以及生物学教授、本科神经生物学项目主任Bill Moody教授的领导团队；Assoc。David Perkel教授，耳鼻喉科，生理学和生物物理学；Fred Rieke教授，生理学和生物物理学，前生理学和生物物理学研究生项目主任，Eric Shea-Brown助理教授，应用数学。

DESCRIPTION (provided by applicant): We propose an undergraduate and graduate (NRSA and non-NRSA) training program in computational neuroscience. Our campus has a rich history and an enormous 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 coursework 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 will take a common core curriculum 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 carry 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 journal 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 present their research at an annual retreat. The program will be directed by Assoc. Prof. Adrienne Fairhall, Physiology and Biophysics, and a leadership team of Prof. Bill Moody, Professor of Biology, Director of the Undergraduate Neurobiology Program; Assoc. Prof. David Perkel, 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.