Planning Workshop: Corpora for Computational Neuroscience

神经科学许多领域的现代实验技术可以产生大量的数据，这些数据可以以多种方式进行处理和建模，通常提供了回答原始实验动机之外的问题的机会。此外，正在开发越来越复杂的算法来分析大型神经数据集。允许数据和算法的常规共享的基础设施将有助于推进该领域，同时促进对已发表结果的验证。数据共享现在在其他领域，如基因组学和天体物理学中很常见，并且在这些领域加快了研究的步伐。在建立和维护用于共享数据和工具的基础设施方面存在许多挑战（技术和社会）。这次会议的目的是召集一个实验人员和建模人员的核心小组，研究如何构建这样一个系统，以便使科学界和研究人员个人都能受益。

Modern experimental techniques in many fields of neuroscience can produce large quantities of data that can be processed and modeled in many ways, often providing the opportunity to answer questions beyond the original experimental motivation. Additionally, more and more sophisticated algorithms are being developed to analyze large neural data sets. An infrastructure that allows for routine sharing of data and algorithms will help advance the field while facilitating the validation of published results. Data sharing is now commonplace in other fields such as genomics and astrophysics and in these fields has accelerated the pace of research. There are numerous challenges (technical and social) involved in setting up and maintaining an infrastructure for sharing data and tools. The purpose of this meeting is to bring together a core group of experimentalists and modelers to examine ways in which such a system could be structured so as to best benefit the scientific community as well as the individual investigator.