SL-CN: Engaging Learning Network (ELN)
SL-CN: Engaging Learning Network (ELN)
批准号:
1540920
负责人:
Barbara Shinn-Cunningham
金额:
$75.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-15 至 2019-08-31
中文摘要
大脑的一个关键特征是它能快速而自然地从经验中学习——不仅是事实信息,还包括抽象的关系和联想。火与火焰燃烧;像“mama”这样的声音通常会让人联想到母亲、安慰和爱的概念。虽然神经科学的最新进展有助于揭示支持日常学习的基本大脑过程,但这些知识尚未实现其帮助人们面对各种临床挑战的潜力。这个项目的目标是将了解学习的神经科学的神经科学家、了解个体所面临的问题的康复专家,以及能够帮助创建有吸引力的训练团队的计算机科学家聚集在一起,这些团队可以使进行支持学习所需的经常重复的训练变得无痛甚至有趣。组建的团队将支持不同实验室的博士生和博士后学员之间的交流,以启动合作,支持跨学科研究的种子项目,以吸引培训范例,一个传播结果的门户网站,以及一年一度的科学会议,汇集了创造有趣和有趣的神经训练项目所必需的各种专业知识。沉浸式的、积极的训练计划可以对大脑产生有益的影响,并且可以用来研究有动机的、投入的参与者的学习过程。然而,实现这一潜力需要将传统上截然不同的研究团体聚集在一起。研究学习科学的神经科学家(节点1)之间需要合作;康复研究人员(节点2)与从大脑训练中受益的个人一起工作;以及计算机科学家(节点3),他们知道如何构建使用起来有趣的计算机软件。参与式学习网络(ELN)将开发一个包含这三个专业知识节点的协作网络。ELN将通过培训项目扩展和应用神经科学学习,在增强用户的感觉、运动和/或认知功能的同时,吸引不同的用户。该网络由来自15个机构的24名研究人员组成:10名神经科学家,9名康复研究人员和5名计算机科学家。合作将通过科学会议、种子项目、研究生交流和门户网站建立。一年一度的科学会议将吸引所有ELN实验室的成员以及来自网络外部的其他人,以促进设计迷人训练计划的艺术的多学科研究,使我们能够使用增强人类功能的程序来研究神经可塑性。结果将通过科学会议和网络传播。一旦通过同行评审,许多参与者将把感觉运动训练应用商业化;这些协同努力将增强网络活动对现实世界的影响,并利用项目所支持的基础科学。
英文摘要
One of the key features of the brain is how quickly and naturally it learns from experience -- not only factual information, but also abstract relationships and associations. Fire and flame burn; a sound like "mama" typically conjures up concepts of mother, comfort, and love. While recent advance in neuroscience have helped to uncover the basic brain processes that support everyday learning, this knowledge has not yet realized its potential to help people facing various clinical challenges. The goal of this project is to bring together neuroscientists who understand the neuroscience of learning, rehabilitation specialists who understand what kinds of problems individuals face, and computer scientists who can help create engaging training regiments that make it painless and even fun to undertake the often repetitious training required to support learning. The assembled team will support exchanges of pre- and post-doctoral trainees across different laboratories to jump-start collaborations, seed projects that support interdisciplinary research into engaging training paradigms, a web portal to disseminate results, and an annual scientific conference that brings together the diverse expertise necessary to create fun and interesting neural training programs. Immersive, active training programs can have beneficial effects on the brain, and can be harnessed to study the process of learning in motivated, engaged participants. Yet realizing this potential requires bringing together traditionally distinct research communities. Collaboration is needed among neuroscientists (node 1) studying the science of learning; rehabilitation researchers (node 2) working with individuals who benefit from brain training; and computer scientists (node 3) who know how to build computer software that is fun to use. The Engaging Learning Network (ELN) will develop a collaborative web encompassing these three nodes of expertise. ELN will extend and apply the neuroscience of learning through training programs that enchant a diversity of users while enhancing their sensory, motor, and/or cognitive function. The network comprises 24 investigators from 15 institutions: 10 neuroscientists, 9 rehabilitation researchers, and 5 computer scientists. Collaborations will be built through a scientific meeting, seed projects, graduate student exchanges, and a web portal. The annual scientific meeting will engage members of all ELN laboratories as well as others from outside the network to promote multi-disciplinary research on the art of designing captivating training programs that enable us to study neural plasticity using programs that enhance human function. Results will be disseminated through scientific meetings and the web. Once vetted through peer review, many participants will make sensori-motor training applications commercially available; these synergistic efforts will enhance the real-world impact of the network activities and leverage the basic science supported by the project.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
NeuroDataRR. Collaborative Research: Testing the relationship between musical training and enhanced neural coding and perception in noise
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批准号:1840693
-
项目类别:Standard Grant
-
资助金额:$12.45万
-
财政年份:2018
-
负责人:Barbara Shinn-Cunningham
-
依托单位:
Computational Audition Workshop
-
批准号:1332234
-
项目类别:Standard Grant
-
资助金额:$2.7万
-
财政年份:2013
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负责人:Barbara Shinn-Cunningham
-
依托单位:
CELEST: A Center of Excellence for Learning in Education, Science, and Technology
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批准号:0835976
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项目类别:Cooperative Agreement
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资助金额:$660.0万
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财政年份:2010
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负责人:Barbara Shinn-Cunningham
-
依托单位:
Collaborative Research: Separating Speech from Speech Noise to Improve Intelligibility
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批准号:0534320
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项目类别:Standard Grant
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资助金额:$15.46万
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财政年份:2006
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负责人:Barbara Shinn-Cunningham
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依托单位:
PostDoctoral Research Fellowship
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批准号:0411582
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项目类别:Fellowship Award
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资助金额:$0.0万
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财政年份:2004
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负责人:Barbara Shinn-Cunningham
-
依托单位:
国内基金
海外基金
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