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

实验对象从一个点到达另一个点是运动科学的主要工作之一。许多问题，从基础神经科学（神经元如何代表运动？）到临床（帕金森病患者与健康对照者的运动有何不同？）到行为（大声噪音如何导致运动错误？），都使用这种范式进行了研究。此外，已经建立了许多模型来描述伸展，这些模型与机器人和计算机科学有很强的联系。该项目将建立一个数据库，其中既包含实验结果，也包含到达运动模型。该数据库将使实验更容易伪造模型，并使模型的设计更容易克服以前模型的局限性。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来约束给定的模型。该项目将从一组相对狭窄的实验和模型开始，在项目过程中逐渐扩大范围。对可达性的研究涵盖了一系列广泛的问题和一系列广泛的实验方法；然而，许多实验方法有重要的共同之处。该项目的目标是在保持数据库足够一致的同时，能够包含广泛的社区的结果。为了使更广泛的参与者能够分享模型和数据，拟议的项目将包括暑期学校、研讨会和竞赛，参与者可以比较模型。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将允许来自任何运动相关学科的科学家有效地与运动数据和模型进行交互。

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.