Conference Proposal: Statistical Modeling and Data Analysis for Neural Coding

理解神经代码的本质具有内在的科学兴趣，因为它使我们更接近于理解智能的计算基础。此外，技术的进步使得监测人类受试者的神经元群的活动成为可能。多神经元记录产生的数据量对数据分析提出了重大挑战。新的统计技术的发展是必要的，为检验关于神经编码性质的假设提供有意义的基础。一个具体的例子是在神经元同步领域。神经群体在短时间尺度上的协调被认为是注意力和特征绑定等多种神经过程的基础。然而，神经元之间放电速率的共变，特别是在短时间尺度上，对指定适当的数据分析和统计方法提出了重大的实际挑战。该奖项将为2009年8月在南非德班举行的国际统计研究所两年一次的会议上关于神经编码统计建模和数据分析主题的国际研讨会提供支持。本次研讨会将汇集几位神经编码方面的统计专家，讨论解决这一问题的一系列方法。这些方法包括生成代理数据集和新的统计方法。这些统计方法可能对其他科学领域也有价值，其中多个要素表现出短时间尺度的时间共变。这次研讨会是统计专家大型会议的一部分。除了将专题讨论会的发言者聚集在一起讨论这个问题外，专题讨论会还将使更大的统计界了解这些问题和新的统计方法。由于会议将在非洲大陆举行，因此会议为非洲大学和研究生提供了教育和外联的机会。

Understanding the nature of the neural code is of intrinsic scientific interest since it brings us closer to understanding the computational basis of intelligence. In addition, technical advances have made it possible to monitor the activity of populations of neurons in human subjects. The volume of data generated by multiple-neuron recordings poses significant challenges for data analysis. The development of new statistical techniques is necessary to provide a meaningful basis for testing hypotheses about the nature of neural coding. One concrete example is in the area of neuronal synchrony. The coordination on a short time scale of neuronal populations has been suggested as the basis for multiple neural processes such as attention and feature binding. However, the co-variation in firing rates among neurons, especially on a short time scale, poses significant practical challenges to specifying appropriate data analysis and statistical methods.This award provides support for an international symposium on the topic of Statistical Modeling and Data Analysis for Neural Coding to be held in conjunction with the International Statistics Institute's biennial meeting at Durban, South Africa, August 2009. This symposium will bring together several statistical experts on neural coding to discuss a range of approaches to this problem. These approaches include both the generation of surrogate data sets and new statistical methods. These statistical methods may also have value for other scientific areas where multiple elements show short time scale temporal co-variation. The symposium is part of a large meeting of statistical experts. In addition to bringing together the symposium speakers to address this issue, the symposium will expose the larger statistical community to these questions and to the new statistical approaches. As the meeting will be happening on the African continent, the meeting provides an opportunity for education and outreach to African university and graduate students.