Workshop on Statistical Analysis of Neuronal Data

神经元数据统计分析研讨会

• 批准号: 0610295
• 负责人: Robert Kass
• 金额: $ 1万
• 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: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0610295&HistoricalAwards=false
• 关键词: Workshop; Statistical; Analysis; Neuronal; Data

Studies of the neural basis of behavior typically use time-varying stimuli and produce time-varying neuronal responses. Statistically, the setting involves both continuous multiple time series and inhomogeneous point processes, sometimes dozens or hundreds of them observed simultaneously. There are many challenging analytical issues, including that of combining information obtained from multiple modalities (EEG, fMRI, MEG, and extracellular recordings). The third workshop Statistical Analysis of Neuronal Data will be devoted to discussion of these issues.The Statistical Analysis of Neuronal Data (SAND) workshops are held in even years in Pittsburgh, PA. The third workshop is planned for May 11--13, 2006. SAND3 will bring together neurophysiologists, statisticians, physicists, and computer scientists who are interested in quantitative analysis of neuronal data. In addition to four scientific sessions, we will run a pair of half-day short courses to provide relevant background on neurophysiological data, for statisticians, and in state-of-the-art statistics for experimentalists. 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; 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.

对行为的神经基础的研究通常使用时变刺激并产生时变神经元反应。从统计学上讲，该设置涉及连续的多个时间序列和非齐次点过程，有时同时观察到数十个或数百个。有许多具有挑战性的分析问题，包括从多种模式（EEG，fMRI，MEG和细胞外记录）获得的信息的组合。神经元数据的统计分析（SAND）研讨会将于偶数年在宾夕法尼亚州匹兹堡举行。第三次讲习班计划于2006年5月11日至13日举行。SAND 3将汇集对神经元数据的定量分析感兴趣的神经生理学家，统计学家，物理学家和计算机科学家。除了四个科学会议，我们将运行一对半天的短期课程，提供神经生理学数据的相关背景，为统计学家，并在国家的最先进的统计实验。 该系列研讨会旨在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策略;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沟通，鼓励年轻的研究人员，包括研究生，介绍他们的工作;让年轻的研究人员在这一跨学科领域面临重要的挑战和机遇，同时提供一个小型的会议氛围，以促进年轻研究人员与资深同事的互动。