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@@ -23,7 +23,18 @@ For using the dataset for decoding, see the next section.
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## Reproduction of our results
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The `example.py` code in this repository shows how to reproduce the decoding results from the paper above and can also be used as an example code for decoding.
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Please change the `data_folder` in the code to the folder where you downloaded the dataset to, see the code at the bottom of the file.
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+In difference to the paper, we do not use the tied neighbour loss, and we do not have biases before batch normalization layers.
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+You can expect the following results for this code.
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+They are averaged from 3 random seeds, average over all subjects.
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+If you need further results, please create an issue.
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+We show paper accuracies for comparison:
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+|Model|Lowpass [Hz]|Test accuracy [%]|From paper [%]|
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+|---|---|---|---|
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+|Deep|0|92.3|92.5|
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+|Deep|4|92.2|91.4|
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+|Shallow|0|88.9|89.3|
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+|Shallow|4|94.6|93.9|
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## Data format
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