Timing accuracy limited to 10-50 microseconds precision. Matlab 2014b time conversion is not as precise as Matlab 2017a conversion (we can loose 1ms accuracy on some events in some specific rare files). With Matlab 2018a, the difference seems to be at most 10 microseconds. In most applications, this limitation has no consequences as event latencies are multiple of 1000 microseconds (1 ms) and the events are imported and exported perfectly.
The plugin will not work with version of Matlab older than 2014a as the Java JAR file cannot be properly interfaced.
When the Java Heap Memory is at its default level, few files can be imported. There is a special message guiding users how to increase the default settings in Matlab in case they encounter an error. Importantly, some large files require a computer with 16Gb of RAM or more (or Java Heap of 4Gb).
Calibration data when present is applied to the data. However, if the file is exported this information is lost. Impedance data and channel status also contained in the info1.xml file is ignored.
Importing trials of different length is not supported. This is a rare occurrence.
Channel status and channel keys in category files are not imported
Importing filter information and calibration information is not supported (except gain calibration which is applied to the data when it is imported)
The plugin will import multiple subject trial averages in EEGLAB but the export is not correct or identical. The reason is that EEGLAB consider these averages as single trials from the same subject and cannot handle participant names.
When importing in standalone mode (not as an EEGLAB plugin, if the file is exported, it will not contain event keys
Video files are not imported and expoted
This plugin was tested on platforms using little-endian byte ordering. Although we do not expect big-endian to be a problem, there is a small chance there could be problem
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Version 0.91 - Difference with previous revision
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