Statistical Analysis of Neuronal Data (SAND8)

神经元数据的统计分析 (SAND8)

• 批准号: 1724882
• 负责人: Robert Kass
• 金额: $ 2万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1724882&HistoricalAwards=false
• 关键词: Statistical; Analysis; Neuronal; Data; SAND8

The eighth international workshop on Statistical Analysis of Neural Data (SAND8) will take place May 31-June 2, 2017, in Pittsburgh, PA. Experimental methods for discovering the neural basis of behavior have been advancing rapidly and, as a result, brain data sets are increasing in size and complexity. Methods for better understanding such rich data sets, which can enable design of ever-more informative experiments, are desperately needed. This workshop series is concerned with identifying, discussing, and disseminating many of the most promising approaches to analysis of neural data of all kinds. It also encourages young researchers, including graduate students, to present their work; exposes 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; and includes as participants women, under-represented minorities and persons with disabilities, who might benefit from the small workshop environment. The data discussed in this workshop range from anatomy to electrophysiology, to neuroimaging. Cross-disciplinary communication between experimental neuroscientists and those trained in statistical and computational methods is a priority. SAND8 will bring together neurophysiologists, statisticians, mathematicians, engineers, physicists, and computer scientists who are interested in quantitative analysis of neural data. SAND8 will begin with a morning-long panel discussion on "Emerging Challenges of Brain Science Data," and end with several talks that connect statistical analysis to mathematical modeling. In between there will be keynote talks by senior investigators and shorter presentations by junior investigators, the latter selected on a competitive basis. There will also be a poster session, to which all participants are invited to contribute. Talks and posters may involve new methodology, investigation of existing methods, or application of state-of-the-art analytical techniques. In addition, there will be a lunchtime discussion devoted to opportunities and challenges for women in computational neuroscience. For further information please see http://sand.stat.cmu.edu.

第八届神经数据统计分析国际研讨会（SAND 8）将于2017年5月31日至6月2日在宾夕法尼亚州匹兹堡举行。用于发现行为的神经基础的实验方法一直在迅速发展，因此，大脑数据集的大小和复杂性都在增加。迫切需要更好地理解这些丰富数据集的方法，这些方法可以设计出更多信息的实验。本系列研讨会关注的是识别、讨论和传播许多最有前途的方法来分析各种神经数据。它还鼓励青年研究人员，包括研究生，介绍他们的工作;使青年研究人员了解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气氛，促进青年研究人员与资深同事的互动;并包括妇女、代表人数不足的少数群体和残疾人参加，他们可能会从小型研讨会环境中受益。本次研讨会讨论的数据范围从解剖学到电生理学，再到神经成像。实验神经科学家和那些受过统计和计算方法训练的人之间的跨学科交流是一个优先事项。SAND 8将汇集对神经数据定量分析感兴趣的神经生理学家、统计学家、数学家、工程师、物理学家和计算机科学家。SAND 8将以“脑科学数据的新兴挑战”的上午小组讨论开始开始，并以将统计分析与数学建模联系起来的几个演讲结束。在此期间，将有高级调查员的主旨演讲和初级调查员的简短演讲，后者是在竞争的基础上选出的。还将举行一次海报会议，请所有与会者为会议作出贡献。讲座和海报可能涉及新的方法，现有方法的调查，或最先进的分析技术的应用。此外，将有一个午餐时间的讨论，专门为妇女在计算神经科学的机遇和挑战。欲了解更多信息，请访问http://sand.stat.cmu.edu。