Conference and Participant Support for Mtg: Statistical Analysis of Neuronal Data

描述(申请人提供)：神经数据统计分析(SAND)会议已成为讨论和研究神经科学中数据分析技术的主要论坛。他们每年在宾夕法尼亚州匹兹堡举行一次。第五次研讨会计划于2010年5月20日至22日举行，第六次研讨会计划于2012年5月31日至6月2日举行。SAND5和SAND6将把对神经元数据定量分析感兴趣的实验神经学家、计算机科学家、统计学家、工程师和物理学家聚集在一起。这一系列讲习班的目的是确定神经元数据分析中的重要问题和解决这些问题的有用战略；促进实验神经科学家与那些接受过统计和计算方法培训的人之间的交流；鼓励年轻研究人员，包括研究生，介绍他们的工作；使年轻研究人员接触到这一跨学科领域的重要挑战和机遇，同时提供一个小型会议氛围，促进年轻研究人员与资深同事的互动。 与公共卫生相关：记录和成像技术的重大进步为研究人员提供了进行以前想象不到的实验的极好工具，产生了丰富的数据源，可以为基础神经科学及其临床意义提供新的线索。然而，数据集往往又大又复杂，因此，如果要将丰富的新信息转化为有用的知识，就需要新的分析方法。神经数据统计分析会议将继续推动神经科学向前发展，鼓励年轻的以计算为导向的研究人员，并改进相关成果的交流和传播。

DESCRIPTION (provided by applicant): The Statistical Analysis of Neural Data (SAND) meetings have become a principal forum for discussion and study of data analytic techniques in neuroscience. They are held in even years in Pittsburgh, PA. The fifth workshop is planned for May 20-22, 2010 and the sixth for May 31-June 2, 2012. SAND5 and SAND6 will bring together experimental neuroscientists, computer scientists, statisticians, engineers, and physicists who are interested in quantitative analysis of neuronal data. This workshop series aims to define important problems in neuronal data analysis and useful strategies for attacking them; foster communication between experimental neuroscientists and those trained in statistical and computational methods encourage young researchers, including graduate students, to present their work; and expose young researchers to important challenges and opportunities in this interdisciplinary domain, while providing a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues. PUBLIC HEALTH RELEVANCE: Major advances in recording and imaging technologies have put into the hands of investigators wonderful tools for conducting previously unimagined experiments, yielding rich data sources that can shed new light on basic neuroscience and its clinical implications. The data sets are, however, often large and complex, so that novel methods of analysis are needed if the wealth of new information is to be turned into useful knowledge. The Statistical Analysis of Neural Data (SAND) meetings will continue to push neuroscience forward by encouraging young computationally-oriented researchers and by improving communication and dissemination of relevant results.