Data Science Resource Core

数据科学核心项目摘要 数据科学核心将负责协调数据管理和分析战略 五个项目。总部设在华盛顿大学的Core将整合数据科学和计算 适应或开发可协调应用的数据分析方法的神经科学专业知识 跨越不同的数据集和模拟输出。在描述神经表示的同时，我们 将特别关注可以从少量试验中提取信息的新的和正在开发的方法 这阐明了神经计算的动力学基础。这一分析将用于 以检验和进一步发展假说。核心将为数据和数据建立标准和做法 由项目生成并使用的软件将促进协作并最终共享数据， 算法和结果。为了便于对大量异质数据进行高效计算，数据 Science Core将开发可部署在机构上的便携式高性能计算系统 资源，以及使用云计算平台。

Data Science Core Project Summary The Data Science Core will be responsible for coordinating data management and analysis strategies across the five projects. Based at the University of Washington, the Core will integrate data science and computational neuroscience expertise to adapt or develop data analysis methods that can be applied in a coordinated way across the different data sets and to simulation outputs. Along with characterizing neural representations, we will particularly focus on new and developing methods that can extract information from small numbers of trials during learning, and that elucidate the dynamical basis of the neural computation. This analysis will be used in order to test and further develop hypotheses. The Core will establish standards and practices for data and software generated by and used the projects that will facilitate collaboration and ultimately sharing of data, algorithms and results. To facilitate efficient computation on large amounts of heterogenous data, the Data Science Core will develop portable high-performance computing systems that can be deployed on institutional resources, as well as using cloud computing platforms.