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Advanced Graduate Training Program in Theoretical Neuroscience

Advanced Graduate Training Program in Theoretical Neuroscience
理论神经科学高级研究生培训计划
批准号:
9296209
负责人:
Laurence F. Abbott
金额:
$18.73万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-07-01 至 2019-06-30

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中文摘要
翻译
描述(由申请人提供):我们要求继续理论神经科学的培训计划,并提供资金支持4名博士前学员。培训将在哥伦比亚大学的理论神经科学中心进行,由该中心的5名(即将成为6名)教师、一名额外的理论客座研究员和来自哥伦比亚大学神经科学系的17名实验人员提供支持。理论中心提供了一个特殊的环境,在这个环境中,博士前,博士后和教师研究人员进行了广泛的互动和合作。大多数学员是哥伦比亚研究生课程神经生物学和行为的成员(少数来自其他研究生课程),将参加课程并满足该课程的要求。这将与理论神经科学的必修课程和大量的选修课程相结合。培训计划的一个显着特点是与哥伦比亚和其他地方的优秀实验室进行广泛的合作,使我们的学员能够获得他们需要的数据,重要的是,允许他们学习第一手的实验神经科学的技术和方法。我们的目标是培养能够将复杂的数据分析方法和有见地的建模方法应用于实验数据的杰出神经科学家。
英文摘要
DESCRIPTION (provided by applicant): We request continuation of a training program in Theoretical Neuroscience with funds to support 4 predoctoral trainees. Training will occur at the Center for Theoretical Neuroscience at Columbia University, supported by the 5 (soon to be 6) faculty at the center, by an additional extended visiting faculty researcher in theory, and by 17 experimentalists from the Columbia Department of Neuroscience. The Theory Center provides an exceptional environment in which pre-doctoral, post-doctoral and faculty researchers interact and collaborate extensively. Most trainees with be members of the Columbia graduate program in Neurobiology and Behavior (with a small number drawn from other graduate programs) and will take the courses and satisfy the requirements of that program. This will be augmented with both required and a large selection of elective courses in theoretical neuroscience. A distinctive feature of the training program is extensive collaborations with outstanding experimental laboratories both at Columbia and elsewhere that allows our trainees access to the data they need and also, importantly, permits them to learn, first-hand, the techniques and approaches of experimental neuroscience. Our aim is to produce outstanding neuroscientists capable of applying sophisticated methods of data analysis and insightful modeling approaches to experimental data.
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