Copy of UK Spike Train Analysis Task Force

在脑细胞（神经元）网络中进行的计算比人工计算更强大，新颖且鲜为人知。神经生理学是从这些细胞网络中提取计算数据流，并对其进行分析，以了解正在发生的信息处理的特征的科学。数据采集的最新进展使神经生理学家能够记录细胞网络，而不是单个细胞或细胞对。发出的数据以一系列单点数据流的形式提供了网络中信息流的二进制描述，这些数据流按空间间隔记录。为了理解这些数据所描述的计算过程，有必要开发新的数学和统计技术，将多个流中发生的现象与强加的刺激联系起来，通过推断产生数据的网络结构来产生额外的见解。并在非常小的尺度上整合离散数学技术，以解决研究挑战（本质上是理解高参数模拟过程）。目前，由于问题的困难，以及社区目前的工作方式，在强大的数学技术方面存在严重短缺，这些技术可以推进对超过少数细胞的网络提出的研究挑战。英国长钉列车分析工作组将通过提供一个离线和在线论坛来扭转这一不足，该论坛将允许新合并的专家社区以协作的方式发展数学。

The computation that takes place in networks of brain cells (neurones) is more powerful that man-made computing, novel, and poorly understood. Neurophysiology is the science of extracting this computational data flow from these cell networks, and analysing it in order to understand the features of the information processing that is taking place.Recent advances in data acquisition have allowed neurophysiologists to record from networks of cells, as opposed to single cells, or cell pairs. The data that emanates provides a binary description of the information flow in the network, in the form of a series of single-point data streams that are recorded at spatial intervals.To understand the computational processes that this data describes, it is necessary to develop new mathematical and statistical techniques to correlate phenomena that occur in multiple streams against imposed stimulti, to generate additional insight by inferring something of the structure of the network producing the data, and to integrate discrete mathematical technqiues that address the research challenge (which is essentially to understand a high-paramater analogue process) at very small levels of scale.At present as a result of the difficulty of the problem, and the way in which the community currently works, there is a severe shortfall in robust mathematical techniques that can advance the proposed research challenge for networks of more than a handful of cells.The UK Spike Train Analysis Task Force will reverse this shortfall by providing an offline and online forum that will allow a newly consolidated expert community to develop mathematics in an a collaborative way.