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# Abstract
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simBCI is a framework for generating artificial EEG data and to test BCI classification methods. The combination allows the study of EEG models and BCI signal processing methods together in controllable conditions as each tested configuration features only what was specified. It is intended for offline analysis of BCI models and methods and to provide intuition about the behavior of such techniques. Ultimately, human experiments are necessary to validate if findings made with simBCI also occur in real BCI use-cases.
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simBCI is a framework for generating artificial EEG data and to test BCI classification methods. The combination allows the study of EEG models and BCI signal processing methods together in controllable conditions as each tested configuration features only what was specified. It is intended for offline analysis of BCI models and methods and to provide intuition about the behavior of such techniques. Ultimately, human experiments are necessary to validate the ideas arising from the use of the framework.
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The potentially useful results produced by simBCI are classification accuracies obtained in different conditions, and elementary visualizations of the data after different transformations. Although in principle it would be possible to extract models generated in simBCI and apply them online, this has not been a design intent.
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