Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience
认知、计算和系统神经科学跨学科培训
基本信息
- 批准号:8489150
- 负责人:
- 金额:$ 22.94万
- 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
- 起止时间:2011-07-01 至 2016-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Project Summary The fields of biology, psychology, and biomedical engineering have generated exciting new advances in the study of neural systems underlying behavior. Individually, these disciplines have individually provided novel insights into brain function and provide opportunities for improved understanding of disorders of the nervous system, healthy and disordered development, and communication. However, the rapid advancement of scientific progress has been limited by the boundaries surrounding the disciplines. Moreover, neuroscientists that are firmly grounded in an array of approaches used by biologists, psychologists, and engineers will best advance new research technologies such as non-invasive functional imaging and neural prosthetics. A training model that is thoroughly interdisciplinary is needed. At Washington University, we have developed such a model: The Cognitive, Computational, and Systems Neuroscience (CCSN) Pathway produces rigorously trained independent investigators that will lead a new generation of scientists who study the brain in truly integrated interdisciplinary investigations. CCSN serves students from the PhD programs in Biomedical Engineering, Psychology, and Neuroscience. The core of CCSN is a two-year curriculum that emphasizes interdisciplinarity, collaboration, and project-based instruction. In the first year, students take courses that bring them up to speed on the core concepts and methods in Cognitive Psychology, Biological Neural Computation, and Neural Systems. In the second year, students participate in two unique courses that have been specially designed as the capstone to the CCSN pathway Advanced CCSN and Project Building in CCSN. Advanced CCSN consists of a series of interdisciplinary case studies in cutting-edge brain science topics. Each topic is presented as a module by a faculty team drawn from the three home programs. Modules include team-based projects and peer review as well as primary source readings and classroom lectures and discussions. Project Building in CCSN is a fully student-driven course. In collaboration with the faculty leader, each student designs an independent interdisciplinary research project. The faculty leader helps them to assemble an interdisciplinary faculty advising team, to whom they present their project multiple times throughout the semester. Faculty advising is complemented by peer advising including written peer review, culminating in a research grant-style project proposal. Surrounding the core CCSN curriculum is a rich penumbra of activities. These are designed to provide intellectual training and to build a cohort of scientists with the identification and social skills necessary to conduct research in interdisciplinary teams. Formal coursework is provided in Mathematics and Statistics of Experimental Neuroscience, and by an intensive mini- course preceding Advanced CCSN. Immersive Encounters with distinguished visiting scientists provide high-intensity exposure to cutting-edge research. In collaboration with the Saint Louis Science Center, CCSN trains students to communicate with the public and helps them build programs and presentations to teach children and adults about the brain and mind. In its initial phases, CCSN has produced cohorts of young brain scientists on the fast track to new discoveries. Evaluations from students, faculty, and an outside advisory team indicate the pathway is on track for continued growth.
描述(由申请人提供):项目摘要生物学,心理学和生物医学工程领域在研究神经系统的基本行为研究方面为新的进步带来了令人兴奋的新进步。这些学科单独地分别提供了有关大脑功能的新见解,并为改善了对神经系统疾病的理解,健康和无序的发展和沟通提供了机会。但是,科学进步的迅速发展受到学科的边界的限制。此外,在生物学家,心理学家和工程师使用的一系列方法中牢固基础的神经科学家将最好地推进新的研究技术,例如非侵入性功能成像和神经假体。需要一个完全跨学科的培训模型。在华盛顿大学,我们开发了这样的模型:认知,计算和系统神经科学(CCSN)途径会产生严格训练的独立研究者,这将领导新一代的科学家,他们研究大脑在真正整合跨学科研究中。 CCSN为生物医学工程,心理学和神经科学博士课程的学生提供服务。 CCSN的核心是一项为期两年的课程,强调跨学科,协作和基于项目的教学。在第一年,学生参加的课程使他们可以加快认知心理学,生物神经计算和神经系统的核心概念和方法的速度。在第二年,学生参加了两个独特的课程,这些课程是专门设计为CCSN Pathway Advanced CCSN和CCSN项目大楼的顶峰。先进的CCSN包括一系列跨学科的案例研究。每个主题都是由从三个家庭计划中汲取的教师团队作为模块提出的。模块包括基于团队的项目和同行评审以及主要的来源读取和课堂讲座和讨论。 CCSN的项目大楼是一门完全由学生驱动的课程。每个学生都与教职员工合作,设计一个独立的跨学科研究项目。教师的领导人帮助他们组建一个跨学科的教师咨询团队,他们在整个学期中多次向他们展示项目。教师建议的辅助咨询服务包括书面同行评审,最终导致研究赠款式的项目建议。 围绕CCSN核心课程是丰富的活动。这些旨在提供智力培训,并建立一系列科学家,并具有在跨学科团队中进行研究所需的认同和社交技能。实验性神经科学的数学和统计数据以及先进的CCSN之前的密集课程提供了正式的课程。与杰出的来访科学家的沉浸式相遇可为尖端研究提供高强度的暴露。 CCSN与圣路易斯科学中心合作,培训学生与公众进行交流,并帮助他们构建计划和演示文稿,以教给儿童和成人有关大脑和思想的信息。 在最初的阶段,CCSN在快速的新发现中生产了年轻的大脑科学家人群。学生,教职员工和外部咨询团队的评估表明,该途径正在努力持续增长。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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STEVEN E. PETERSEN其他文献
STEVEN E. PETERSEN的其他文献
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{{ truncateString('STEVEN E. PETERSEN', 18)}}的其他基金
Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience
认知、计算和系统神经科学跨学科培训
- 批准号:
8077591 - 财政年份:2011
- 资助金额:
$ 22.94万 - 项目类别:
Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience
认知、计算和系统神经科学跨学科培训
- 批准号:
8264743 - 财政年份:2011
- 资助金额:
$ 22.94万 - 项目类别:
DEFINING FUNCTIONAL AREAS IN THE HUMAN BRAIN USING RESTING FUNCTIONAL CONNECTIVIT
使用静息功能连接定义人脑的功能区域
- 批准号:
7530816 - 财政年份:2008
- 资助金额:
$ 22.94万 - 项目类别:
The Study of Task-Level Control Signals Using fMRI
利用功能磁共振成像研究任务级控制信号
- 批准号:
6749069 - 财政年份:2003
- 资助金额:
$ 22.94万 - 项目类别:
Study of Task-Level Control Signals Using fMRI
使用功能磁共振成像研究任务级控制信号
- 批准号:
6670749 - 财政年份:2003
- 资助金额:
$ 22.94万 - 项目类别:
The Study of Task-Level Control Signals Using fMRI
利用功能磁共振成像研究任务级控制信号
- 批准号:
6906426 - 财政年份:2003
- 资助金额:
$ 22.94万 - 项目类别:
The Study of Task-Level Control Signals Using fMRI
利用功能磁共振成像研究任务级控制信号
- 批准号:
7082015 - 财政年份:2003
- 资助金额:
$ 22.94万 - 项目类别:
DEVELOPMENT OF LINGUISTIC COMPETENCE: FMRI STUDIES
语言能力的发展:FMRI 研究
- 批准号:
6317517 - 财政年份:2001
- 资助金额:
$ 22.94万 - 项目类别:
DEVELOPMENT OF LINGUISTIC COMPETENCE: FMRI STUDIES
语言能力的发展:FMRI 研究
- 批准号:
6540394 - 财政年份:2001
- 资助金额:
$ 22.94万 - 项目类别:
DEVELOPMENT OF LINGUISTIC COMPETENCE: FMRI STUDIES
语言能力的发展:FMRI 研究
- 批准号:
6639732 - 财政年份:2001
- 资助金额:
$ 22.94万 - 项目类别:
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