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.

关于神经数据统计分析的第八届国际研讨会（SAND8）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。发现行为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正在增加。迫切需要更好地理解这种丰富数据集的方法，这些方法集可以实现越来越多的信息实验。该研讨会系列涉及识别，讨论和传播许多最有前途的方法来分析各种神经数据的方法。它还鼓励包括研究生在内的年轻研究人员介绍他们的工作。在这个跨学科领域中，使年轻的研究人员面临重要的挑战和机遇，同时提供了一个小的聚会氛围，以促进年轻研究人员与高级同事的相互作用；并包括作为参与者，代表性不足的少数民族和残疾人，她们可能会从小型研讨会环境中受益。该研讨会中讨论的数据范围从解剖学到电生理学，再到神经影像学。实验性神经科学家与接受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。 SAND8将汇集神经生理学家，统计学家，数学家，工程师，物理学家和计算机科学家，他们对神经数据的定量分析感兴趣。 SAND8将从早晨的小组讨论“脑科学数据的新兴挑战”开始，最后进行了几次将统计分析与数学建模联系起来的演讲。在两者之间，高级调查员将进行主题演讲，而初级调查员则将较短的演讲，后者是在竞争性的基础上选择的。还将有一个海报会议，邀请所有参与者捐款。会谈和海报可能涉及新的方法论，对现有方法的研究或最先进的分析技术的应用。此外，还将在计算神经科学领域为女性带来午餐时间讨论。有关更多信息，请访问http://sand.stat.cmu.edu。