课题基金 / 基金详情

Neurosciences Graduate Training Program

Neurosciences Graduate Training Program
神经科学研究生培训计划
批准号:
10626085
负责人:
Brenda L Bloodgood
金额:
$53.26万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
未结题
起止时间:
2008-07-01 至 2025-06-30

项目摘要

项目成果

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中文摘要
翻译
项目总结/摘要 神经科学研究生课程(NGP)在加州大学圣地亚哥分校(UCSD)致力于培养下一个 神经科学的一代领导者。NGP汇集了世界一流的研究机构和实验室 在加州大学圣地亚哥分校,索尔克研究所,斯克里普斯研究所和桑福德伯纳姆研究所,创造一个 世界上最大和最多样化的神经科学环境。拟议的培训计划 将这种环境与涵盖多种神经科学的渐进的,定量的严格课程相结合 学科,与世界领先的研究人员指导研究,跨临床和 学术设置和指导的专业发展。研究生产率和先前NGP的放置 培训人员中的大多数都是优秀的,大多数培训人员继续从事科学研究和高等教育。的NGP 一直在美国顶尖的研究生课程中名列前茅。拟议的培训计划支持第一和 二年级NGP学生,并得到了强大的机构支持。该计划加强了密切,富有成效的 学生和教师之间的互动。新入学的学生接受密集的动手实验室培训, 为期两周的靴子营,提供独特的结合体验。学生完成后选择论文实验室 第一年的核心课程和研究实验室轮换。学生的进步通过正式的 评估,并提供量身定制的职业咨询和辅导。学生之间的科学互动, 教师通过学生管理的期刊俱乐部,讨论课程,学生讲座,座谈会,外展 计划,招聘活动和年度务虚会。NGP已经达到了增加计划规模的先前目标 通过加强机构支持,并加强招聘和保留代表性不足的学生。 URM学生在NGP的代表性现在是所有UCSD STEM研究生课程中最高的, 自2012年以来,该项目的总体规模增加了近40%,达到102名博士生, 入学竞争仍然很激烈(自2007年以来申请人数翻了一番)。我们的指导使命 培养未来领先的神经科学家是建立在实验设计,统计, 方法论和定量推理。在未来五年,NGP设定了一个目标, 全面整合定量严谨性,可重复性和研究透明度的原则, 培训计划的各个方面。这包括扩大国家增长计划的数量范围, 成功的计算神经科学专业化,修改课程,改变指导实践, 预测数据收集、访问和分析的未来挑战。我们的目标是广泛的跨学科 神经科学培训环境,强调强大的定量技能,加上严格的实验 设计和统计方法。
英文摘要
Project Summary/Abstract The Neurosciences Graduate Program (NGP) at UC San Diego (UCSD) is committed to training the next generation of neuroscience leaders. The NGP brings together world-class research institutions and laboratories at UCSD, The Salk Institute, The Scripps Research Institute, and the Sanford Burnham Institute, to create one of the largest and most diverse neuroscience environments in the world. The proposed training program combines this environment with a progressive, quantitatively rigorous curriculum covering multiple neuroscience disciplines, mentored research with world-leading investigators, collaborative opportunities across clinical and academic settings, and mentored professional development. Research productivity and placement of prior NGP trainees is outstanding, with most trainees continuing in scientific research and higher education. The NGP consistently ranks among the top graduate programs in US. The proposed training program supports 1st and 2nd-year NGP students and is endorsed by strong institutional support. The program reinforces close, productive interactions between students and faculty. Incoming students receive intensive hands-on laboratory training in a two-week Boot Camp that provides a unique bonding experience. Students choose thesis labs after completing the core courses and research lab rotations in the first year. Student progress is closely monitored through formal evaluations, with individually tailored career advising and mentorship. Scientific interactions among students and faculty are facilitated through student-run journal clubs, discussion courses, student talks, colloquia, outreach programs, recruitment activities, and an annual retreat. The NGP has met prior goals to increase program size by enhancing institutional support, and to strengthen recruitment and retention of underrepresented students. Representation of URM students in the NGP is now the highest among all UCSD STEM graduate programs, and the overall size of the program has increased by nearly 40%, to 102 PhD students, since 2012, while recruitment and admission have remained highly competitive (applications have doubled since 2007). Our guiding mission to develop tomorrow's leading neuroscientists is founded on rigorous skills in experimental design, statistical methodology and quantitative reasoning. Over the next five years, the NGP has set a goal to strengthen and comprehensively integrate the tenets of quantitative rigor, reproducibility, and research transparency into all aspects of the training program. This includes broadening the quantitative scope of the NGP by expanding the successful Computational Neuroscience specialization, modifying curricula, and altering mentoring practices to anticipate future challenges for data collection, access, and analysis. Our goal is a broad interdisciplinary neuroscience training environment that emphasizes strong quantitative skills coupled to rigorous experimental design and statistical methodology.
期刊论文(28)
专著(0)
科研奖励(0)
会议论文
Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.
神经噪声的相关来源会导致与年龄相关的认知能力下降。
DOI: 10.1162/jocn_a_01584
发表时间: 2020
期刊: Journal of cognitive neuroscience
影响因子: 3.2
作者: [Tran,TamT, Rolle,CamarinE, Gazzaley,Adam, Voytek,Bradley]
通讯作者: Voytek,Bradley
In vivo imaging of dendritic pruning in dentate granule cells.
齿状颗粒细胞中树突状修剪的体内成像。
DOI: 10.1038/nn.4301
发表时间: 2016-06
期刊: Nature neuroscience
影响因子: 25
作者: [Gonçalves JT, Bloyd CW, Shtrahman M, Johnston ST, Schafer ST, Parylak SL, Tran T, Chang T, Gage FH]
通讯作者: Gage FH
DOI: 10.3758/s13415-013-0204-4
发表时间: 2014-03
期刊: Cognitive, affective & behavioral neuroscience
影响因子: --
作者: [Amitai N, Young JW, Higa K, Sharp RF, Geyer MA, Powell SB]
通讯作者: Powell SB
DOI: 10.1073/pnas.2107797119
发表时间: 2022-07-12
期刊: Proceedings of the National Academy of Sciences of the United States of America
影响因子: 11.1
作者: []
通讯作者:
共 21 条
    Molecular and Cellular Mechanisms Underlying Activity Dependent Gene Regulation in Neurons
    Molecular and cellular mechanisms underlying activity dependent gene regulation in neurons
    Preparing Diverse Transfer Students for Research Careers in Neuroscience
    Preparing Diverse Transfer Students for Research Careers in Neuroscience
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