CRCNS: Data Sharing: A Joint Database of Experiments and Models of Reaching Movement

CRCNS：数据共享：到达运动实验和模型的联合数据库

• 批准号: 1010336
• 负责人: Konrad Kording
• 金额: $ 42.5万
• 依托单位: Rehabilitation Institute of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1010336&HistoricalAwards=false
• 关键词: CRCNS; Data; Sharing; Joint; Database

Experiments in which subjects reach from one point to another are one of the workhorses of movement science. Many questions ranging from basic neuroscience (How do neurons represent movement?) to clinical (How do patients with Parkinson's Disease move differently from healthy controls?) to behavioral (How does loud noise lead to movement errors?) are studied using this paradigm. Moreover, many models have been constructed to describe reaching, and these models have strong links to robotics and computer science. This project will develop a database that contains both experimental results as well as models of reaching movement. The database will make it easier for experiments to falsify models and for models to be designed so that they overcome the limitations of previous models. The objective of the joint database design is that multiple models should be able to make predictions for a given experimental dataset, and likewise, multiple experimental datasets can be used to constrain a given model. The project will start with a relatively narrow set of experiments and models, widening the scope gradually over the course of the project. Research on reaching spans a broad set of questions and a broad set of experimental methods; however, many experimental approaches share significant aspects. The objective of the project is to enable inclusion of the results of a broad set of communities while keeping the database sufficiently coherent to be useful. To enable the inclusion of a broad set of participants who will share models and data the proposed project will include summer schools, workshops and competitions where participants can compare models. Access to the database will be free and open, and this possibility of access to high quality data promises to allow scientists from any movement related discipline to productively interact with movement data and models.

受试者从一点伸向另一点的实验是运动科学的主力之一。许多问题从基础神经科学(神经元如何代表运动？)到临床(帕金森氏症患者与健康对照组有何不同？)到行为(巨大的噪音如何导致动作错误？)都是用这个范式来研究的。此外，已经建立了许多模型来描述到达，这些模型与机器人学和计算机科学有很强的联系。这个项目将开发一个数据库，其中包含实验结果以及到达运动的模型。该数据库将使伪造模型的实验和设计模型变得更容易，以便克服以前模型的限制。联合数据库设计的目标是多个模型应该能够对给定的实验数据集进行预测，同样，多个实验数据集可以用于约束给定的模型。该项目将从相对较窄的一组实验和模型开始，在项目过程中逐渐扩大范围。关于达成的研究跨越了一系列广泛的问题和广泛的实验方法；然而，许多实验方法都有重要的共同之处。该项目的目标是能够纳入广泛社区的成果，同时使数据库保持足够的连贯性，使之有用。为了纳入将分享模型和数据的广泛参与者，拟议的项目将包括暑期学校、讲习班和竞赛，参与者可以在这些活动中比较模型。对数据库的访问将是免费和开放的，这种访问高质量数据的可能性有望使来自任何运动相关学科的科学家能够与运动数据和模型进行富有成效的交互。