Statistical Analysis of Neural Data (SAND), May 29-31, 2014

神经数据统计分析研讨会(SAND7)将于2015年5月27日至29日在宾夕法尼亚州匹兹堡的卡内基梅隆大学和匹兹堡大学联合运营的认知神经基础中心举行。神经记录和成像技术的重大进步为研究人员提供了进行以前意想不到的实验的绝佳工具，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。(SAND7)将把对神经元数据的定量分析感兴趣的生理学家、统计学家、物理学家和计算机科学家聚集在一起。科学讲座将由6名主讲人和12名初级调查人员进行。每一次主旨演讲之后，都会有一场受邀的主题讨论。还将有一个海报展示环节。作者将被鼓励向《计算神经科学杂志》提交论文。SAND7是2002年开始的一系列讲习班中的第七期。讲习班的目标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科学家之间的交流；并通过一系列同行评议的文章进一步传播在讲习班上提出的研究结果。其他目标是鼓励青年研究人员，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，促进青年研究人员与资深同事的互动；并让妇女、任职人数不足的少数群体和可能从小讲习班环境中受益的残疾人作为参与者。有关更多信息，请参阅http://sand.stat.cmu.edu/sand。

The workshop Statistical Analysis of Neural Data (SAND7) will take place May 27-29, 2015, at the Center for the Neural Basis of Cognition, run jointly by the Carnegie Mellon University and the University of Pittsburgh, in Pittsburgh PA. Major advances in neural 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. (SAND7) will bring together euro-physiologists, statisticians, physicists, and computer scientists who are interested in quantitative analysis of neuronal data. The scientific lectures will be given by 6 keynote speakers, and 12 junior investigators. Each keynote lecture will be followed by an invited discussion of the topic. There will also be a poster session. Authors will be encouraged to submit papers to the Journal of Computational Neuroscience. SAND7 is the seventh workshop in a series that began in 2002. The objectives of the workshop are 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; and provide further dissemination of the findings presented at the workshop via a set of peer-reviewed articles. Other objectives are to 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; and include as participants women, under-represented minorities and persons with disabilities who might benefit from the small workshop environment. See http://sand.stat.cmu.edu/sand for further information.