Statistical analysis tool for time/frequency state spaces.

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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.