Planning Workshop: Corpora for Computational Neuroscience

规划研讨会：计算神经科学语料库

• 批准号: 0636838
• 负责人: Kenneth Harris
• 金额: --
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-15 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0636838&HistoricalAwards=false
• 关键词: Planning; Workshop; Corpora; Computational; Neuroscience

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.

神经科学许多领域的现代实验技术可以产生大量数据，这些数据可以通过多种方式进行处理和建模，通常提供了回答超出原始实验动机的问题的机会。此外，越来越复杂的算法正在被开发来分析大型神经数据集。允许例行共享数据和算法的基础设施将有助于推进该领域的发展，同时促进已发布结果的验证。数据共享现在在基因组学和天体物理学等其他领域很常见，并且加快了这些领域的研究步伐。建立和维护共享数据和工具的基础设施涉及许多挑战（技术和社会）。这次会议的目的是聚集一个由实验者和建模者组成的核心小组，研究如何构建这样一个系统，以便最大程度地造福于科学界和个人研究者。