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Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"

Python 100.00%

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sicr_bci's Issues

Lack of RADAM

Thank you very much for providing the source program, but there seems to be a missing "RADAM.py" file, can you add it?

About visualizing all features

Thank you for supplying code. Can you share the code about visualizing all features in your paper? I have tried to visualize all features of your code Run_EEGNet_1.py. But I got apparently different results. Can you share the code? Thank you very much.

Some question about this code

In the process of running the code,I have some questions. line 168 of the Run_EEGNet_1.py file, you reshape the rele and then put it into global_disc, but within global_disc is a conv2d, so that the dimensionality error occurs.

We solved this problem by changing the variable name rele to rele_cpy on line 168.

But I can't get your results in your paper. Accuracy rate fluctuates above and below 50%. Can you supply me with a correct copy of the source program and data files?(.npy)

I have sent you an email with the same content. Thank you very much!

Hope to hear from you soon!

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