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 Averaging of spike events 
 Averaging is a method that calculates the mean of EEG activity, reducing the effect of noise and background signals and enhancing the activity locked with the trigger used in the average. When averaging spike activity, the latency with peak amplitude is taken as a trigger, usually several tens or hundreds of spikes are selected to produce an average. The averaging procedure takes a time window into account which is defined as a total length with a pre-trigger interval. Artefacts can be marked beforehand so that spike overlapping with these is not considered in the averaging.

The result data reflect the mean activity for the spikes selected and can be shown in the 3D mapping, or can be transferred to source reconstruction such as dipole modeling.
 
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Average setup
In the figure on the right, the raw signals are shown togther with a list of spike events, some of which have been disabled. An artefact that has been hand-marked is also visible in the EEG page.
Average setup in eemagine 
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Average Review
The figure shows the resulting average data. Note that a new montage is created, which is called "As computed". Averaging applies the previously selected montage and filter settings and this way creates data that do not necessarily match with the "As recorded" montage settings. The average data are shown in a 3D voltage map with six subsequent latencies.
Average Review 
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Average Export
The result data can be exported the same way as continuous data by means of the "Export Data" dialog. Here, the output file name, file format and output montage can be specified. currently supported formats are ASCII, ASA, EDF, and EEProbe.
Average Export 
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