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市卡耐基梅隆大学和匹兹堡大学联合举办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奇妙的工具，可以进行以前无法想象的实验，产生丰富的数据来源，可以为基础神经科学及其临床意义提供新的视角。然而，数据集往往是庞大而复杂的，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）将汇集对神经元数据定量分析感兴趣的欧洲生理学家、统计学家、物理学家和计算机科学家。科学讲座将由6名主讲人和12名初级研究员进行。每个主题演讲之后都将邀请讨论该主题。还会有海报环节。鼓励作者向《计算神经科学杂志》提交论文。SAND7是2002年开始的系列研讨会中的第七个。研讨会的目标是定义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受过统计和计算方法训练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研讨会上提出的研究结果。其他目标是鼓励年轻的研究人员，包括研究生，展示他们的工作；让年轻的研究人员接触到这个跨学科领域的重要挑战和机遇，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；并将妇女、代表性不足的少数民族和残疾人纳入参与者，因为他们可能受益于小型讲习班的环境。更多信息请参见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.