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
总结
该提案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。华盛顿大学历史悠久,
一个大的和不断增长的积极教学和研究在这一领域的广度,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。
该计划发展了非常成功的前五年计划,该计划看到了发展
一个积极和高度可见的培训计划,包括新的本科和研究生课程,
网站,社群活动,以利用新的机会和势头在西雅图。
对本科生和研究生教育和研究的支持将加强
理论家和实验家;扩展和整合新兴方法的课程,
神经科学,特别是神经工程和大数据方面的新产品;增强互动
本科生和研究生之间;提供本科生研究的机会,
吸引整个校园的社区,以加强我们已经优秀的跨学科
交流与合作。本科培训计划是一个为期2年的序列,
计算神经科学,每年有6名来自神经生物学或
计算/工程专业(物理,计算机科学与工程,生物工程,
应用与计算数学(Applied and Computational Mathematics)受训人员参加核心课程,包括一项研究
研讨会,选择实验室神经生物学序列和共同的定量课程。选择
个性化课程和职业发展中的额外选修课由
指导委员会。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多达6名学生从多个
研究生课程。学生将在第一年结束时申请培训补助金支持,
开展核心课程,包括神经生物学、定量和期刊俱乐部课程。
个性化定制的课程,包括从计算产品中选择的选修课
神经科学,数学,计算机科学和物理学将在与一个
指导委员会。学员将有机会参加华盛顿大学/艾伦研究所夏季讲习班,
圣胡安岛上的动态大脑。所有学员将参加定期研讨会,并提出他们的
在一次年度务虚会上进行研究。该计划将由教授共同指导。艾德丽安·费尔霍尔
生理学和生物物理学以及应用数学的Eric Shea-Brown,由领导团队协助
教授比尔穆迪,主任,本科神经生物学计划和教授大卫佩克尔,主任,
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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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
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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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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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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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项目类别:
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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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资助金额:$6.01万
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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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批准号:9767102
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批准号:8525377
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资助金额:$27.88万
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依托单位:
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: