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Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
In the present contribution, we thrive to remove many shortcomings of current simulation frameworks and propose a versatile alternative, that allows for objective evaluation and benchmarking of novel data-driven decoding methods for neural signals.
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