Statistical analysis tool for time/frequency state spaces.

脑电，或称EEG，由大脑电活动的波动组成；它可以在人们进行认知任务(如看物体、阅读、听)时进行测量。记录按时间顺序存在，并通过头骨表面的多个电极收集。数学运算允许将这些记录分解成更容易解释的信号，以检查例如不同的频率(例如，信号的慢和快波动)。目前还没有一种工具可以同时对所有脑电维度(所有电极、所有时间点和所有频率)进行统计评估。我们的项目旨在提供一个免费分发的工具箱，允许进行此类分析，从而提供一种新的方法来调查大量研究数据，并有可能产生关于大脑的重要新知识。

The electroencephalogram, or EEG, consists of fluctuations in brain electrical activity; it can be measured whilst people are doing cognitive tasks (e.g. seeing objects, reading, listening). Recordings consist in time-series and are collected via multiple electrodes at the surface of the skull. Mathematical operations allow decomposing those recordings into more easy interpretable signals to examine, for instance, different frequencies (e.g. slow and fast fluctuations of the signal). There is currently no tool allowing the statistical assessment of all the EEG dimensions simultaneously (all electrodes, all time points and all frequencies together). Our project aims at providing a freely distributed toolbox allowing such analyses, therefore providing a new way to investigate a lot of research data and potentially generating important new knowledge about the brain.