Undergraduate and graduate training in neural computation and engineering

神经计算和工程本科生和研究生培训

• 批准号: 9348622
• 负责人: Adrienne L Fairhall
• 金额: $ 17.27万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9348622
• 关键词: Area; Big Data; Biological; Biology; Biomedical Engineering; Biophysics; Brain; Collaborations; Communities; Consultations; Development; Educational Curriculum; Educational process of instructing; Educational workshop; Engineering; Graduate Education; Grant; Individual; Island; Journals; Laboratories; Laboratory Research; Leadership; Mathematics; Mentors; National Research Service Awards; Neurobiology; Neurosciences; Physics; Physiology; Psychology; Recording of previous events; Research; Retreatment; Schools; Structure; Students; Training; Training Programs; Universities; Washington; career development; computational neuroscience; computer science; curriculum development; education research; faculty mentor; graduate student; novel; programs; relating to nervous system; summer institute; undergraduate education; undergraduate research; undergraduate student; web site

Summary This proposal continues and evolves an undergraduate and graduate (NRSA and non-NRSA) Training Program in Neural Computation and Engineering. The University of Washington has a rich history and a large and growing 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. This program evolves the extremely successful previous five-year program which saw the development of an active and highly visible training program, including new undergraduate and graduate program, website, community activities, to take advantage of new opportunities and momentum in Seattle. Support for undergraduate and graduate education and research will enhance interaction between theorists and experimentalists; expand and integrate coursework in emerging approaches in neuroscience, particularly novel offerings in neuroengineering and big data; enhance interactions between undergraduate and graduate students; provide opportunities for undergraduate research and draw together the community across campus to strengthen our already excellent interdisciplinary exchange and collaboration. The undergraduate training program is a 2-year sequence in computational neuroscience, with support for 6 trainees yearly from neurobiology or from a computational/engineering major (Physics, Computer Science and Engineering, Bioengineering, Applied and Computational Mathematics). Trainees take a core curriculum including a research seminar, a choice of laboratory neurobiology sequence and common quantitative courses. Choice of additional electives in an individualized curriculum and career development is guided by a mentoring committee. All students will complete at least 1 and preferably 4 quarters of mentored laboratory research. The graduate training program will support up to 6 students from multiple graduate programs. Students will apply for training grant support at the end of the first year and carry out a core curriculum consisting of neurobiology, quantitative and journal club 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. Trainees will have access to the UW/Allen Institute Summer Workshop for the Dynamic Brain on San Juan Island. All trainees will attend a regular seminar and and present their research at an annual retreat. The program will be co-directed by Profs. Adrienne Fairhall, Physiology and Biophysics and Eric Shea-Brown, Applied Mathematics, assisted by Leadership Team Prof. Bill Moody, Director, Undergraduate Neurobiology Program and Prof. David Perkel, Director, Neuroscience Graduate Program.

摘要 该计划继续并发展了本科生和研究生(NRSA和非NRSA)培训 神经计算与工程专业课程。华盛顿大学有着丰富的历史 在教师指导下，这一领域的活跃教学和研究的广度越来越大 通过多个系和学校分发，包括生理学和生物物理学、生物学 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。 该计划是在非常成功的上一个五年计划的基础上发展起来的 积极和引人注目的培训计划，包括新的本科生和研究生计划， 网站，社区活动，以利用西雅图的新机会和势头。 对本科生和研究生教育和研究的支持将加强 理论家和实验者；在新兴方法中扩展和整合课程 神经科学，特别是神经工程和大数据领域的新产品；增强互动 本科生和研究生之间的联系；提供本科生研究和 将校园内的社区聚集在一起，加强我们已经很优秀的跨学科 交流与合作。本科培训计划是一个为期两年的序列 计算神经科学，每年支持6名来自神经生物学或 计算机/工程专业(物理学、计算机科学与工程、生物工程、 应用数学和计算数学)。学员选修包括研究在内的核心课程 研讨会，选择实验室神经生物学序列和常见的量化课程。选择 在个性化课程和职业发展中的附加选修课由导师指导 委员会审议阶段。所有学生将完成至少1个，最好是4个季度的辅导实验室 研究。研究生培训计划将支持最多6名来自多个毕业生的学生 程序。学生将在第一年结束时申请培训补助金支持，并进行核心 课程包括神经生物学、量化和期刊俱乐部课程。单独定制 课程包括从计算神经科学、数学、 计算机科学和物理学将在与指导委员会协商后制定。实习生将 有机会在圣胡安岛参加威斯康星大学/艾伦研究所的活力大脑夏季研讨会。全 学员将参加定期研讨会，并在一年一度的静修中展示他们的研究成果.该计划 将由教授共同执导。生理学和生物物理学的Adrienne FairHall和Eric Shea-Brown， 应用数学，由本科生主任比尔·穆迪教授领导团队协助 神经生物学项目主任David Perkel教授和神经科学研究生项目主任David Perkel教授。