Training Program in Neural Computation and Engineering
Training Program in Neural Computation and Engineering
批准号:
10002200
负责人:
Adrienne L Fairhall
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2021-08-31
关键词:
AreaBig DataBiologicalBiologyBiomedical EngineeringBiophysicsBrainCollaborationsCommunitiesConsultationsDevelopmentEducational CurriculumEducational process of instructingEducational workshopEngineeringGraduate EducationGrantIndividualIslandJournalsLaboratoriesLaboratory ResearchLeadershipMathematicsMentorsNational Research Service AwardsNeurobiologyNeurosciencesPhysicsPhysiologyPsychologyRecording of previous eventsResearchSchoolsStructureStudentsTrainingTraining ProgramsUniversitiesWashingtoncareer developmentcomputational neurosciencecomputer sciencecurriculum developmenteducation researchfaculty mentorgraduate studentnovelprogramsrelating to nervous systemsummer instituteundergraduate educationundergraduate researchundergraduate studentweb site
中文摘要
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和
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
个性化课程和职业发展中的附加选修课由
指导委员会。所有学生将完成至少1个季度,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名学生,来自多个
研究生课程。学生将在第一年结束时申请培训补助金支持,并
实施由神经生物学、量化和期刊俱乐部课程组成的核心课程。
单独定制的课程,包括从计算课程中挑选的选修课
神经科学、数学、计算机科学和物理学将与一个
指导委员会。学员将有机会参加威斯康星大学/艾伦学院的夏季研讨会
圣胡安岛上的活力大脑。所有受训人员将参加一个定期研讨会,并介绍他们的
在一年一度的静修会上做研究。该项目将由教授共同指导。艾德里安·费尔霍尔
生理学和生物物理学和Eric Shea-Brown,应用数学,由领导团队协助
本科生神经生物学项目主任Bill Moody教授和主任David Perkel教授,
神经科学研究生课程。
英文摘要
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.
期刊论文(18)
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Parallel Processing of Rod and Cone Signals: Retinal Function and Human Perception.
视杆细胞和视锥细胞信号的平行处理: 视网膜功能与人类感知
DOI:
10.1146/annurev-vision-091517-034055
发表时间:
2018-09-15
期刊:
Annual review of vision science
影响因子:
6
作者:
[Grimes WN, Songco-Aguas A, Rieke F]
通讯作者:
Rieke F
Long-term detection of Parkinsonian tremor activity from subthalamic nucleus local field potentials.
从丘脑底核局部场电位长期检测帕金森震颤活动。
DOI:
10.1109/embc.2015.7319129
发表时间:
2015
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
作者:
[Houston,Brady, Blumenfeld,Zack, Quinn,Emma, Bronte-Stewart,Helen, Chizeck,Howard]
通讯作者:
Chizeck,Howard
The Role of Dorsal Premotor Cortex in Resolving Abstract Motor Rules: Converging Evidence From Transcranial Magnetic Stimulation and Cognitive Modeling.
背侧前运动皮层在解决抽象运动规则中的作用:汇聚经颅磁刺激和认知建模的证据。
DOI:
10.1111/tops.12408
发表时间:
2019-01
期刊:
Topics in cognitive science
影响因子:
3
作者:
[Rice P, Stocco A]
通讯作者:
Stocco A
DOI:
10.1186/s13408-015-0030-9
发表时间:
2015-12
期刊:
Journal of mathematical neuroscience
影响因子:
2.3
作者:
[Leen DA, Shea-Brown E]
通讯作者:
Shea-Brown E
DOI:
10.1152/jn.00424.2021
发表时间:
2022-10-01
期刊:
JOURNAL OF NEUROPHYSIOLOGY
影响因子:
2.5
作者:
[Schwalm, Miriam, Tabuena, Dennis R., Easton, Curtis, Richner, Thomas J., Mourad, Pierre, Watari, Hirofumi, Moody, William J., Stroh, Albrecht]
通讯作者:
Stroh, Albrecht
共 11 条
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
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批准号:10405344
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资助金额:$11.89万
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财政年份:2021
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负责人:Adrienne L Fairhall
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依托单位:
Modeling and Theory
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批准号:9983235
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资助金额:$26.78万
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负责人:Adrienne L Fairhall
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依托单位:
Data Science Resource Core
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批准号:10456069
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资助金额:$29.58万
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财政年份:2018
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依托单位:
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
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批准号:10318583
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资助金额:$102.75万
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财政年份:2017
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负责人:Adrienne L Fairhall
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依托单位:
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
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批准号:10058287
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资助金额:$103.59万
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财政年份:2017
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依托单位:
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
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批准号:9451082
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项目类别:
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资助金额:$2.89万
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财政年份:2017
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依托单位:
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
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批准号:10673470
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资助金额:$6.01万
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财政年份:2017
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依托单位:
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批准号:8312488
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依托单位:
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资助金额:$27.34万
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依托单位:
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批准号:9767102
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依托单位:
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依托单位:
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: