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

神经数据的统计分析（SAND 7）研讨会将于2015年5月27日至29日在卡内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展为研究人员提供了进行以前无法想象的实验的极好工具，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见解。然而，数据集往往庞大而复杂，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。（SAND 7）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名主旨发言人和12名初级研究人员主讲。每个主题演讲之后将邀请对主题进行讨论。还将举行海报会议。作者将被鼓励向计算神经科学杂志提交论文。SAND 7是2002年开始的系列研讨会中的第七次。研讨会的目标是确定神经元数据分析中的重要问题和攻击它们的有用策略;促进实验神经科学家与那些受过统计和计算方法培训的人之间的沟通;并通过一系列同行评审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，便利青年研究人员与资深同事互动;并让妇女、代表人数不足的少数群体和残疾人参加，他们可能会受益于小型研讨会的环境。更多信息请访问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.