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Mother of All BCI Benchmarks

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Use Epochs instead of numpy for CCA, TRCA and MsetCCA, fix label estimation.

This test is not working at all, and looks like was not executed with the previous configuration _Originally posted by @bruAristimunha in https://github.com/NeuroTechX/moabb/pull/618#discussion_r1631787591_

bug
help wanted

From the issue #1 @okbalefthanded proposed to add the dataset for Motor Imagery in acute stroke patients. Here is the link to the paper of the dataset : https://www.nature.com/articles/s41597-023-02787-8#Sec10 and...

The final goal is to flat all the evaluations, but the first step will be to create the spitters: Here, we have some examples with braindecode and benchopt: - https://github.com/benchopt/benchmark_bci/blob/main/benchmark_utils/splitter.py...

moabb

Currently for BNCI2014001, BNCI2014002, BNCI2014004, BNCI2015001

https://github.com/NeuroTechX/moabb/blob/a840f7d16b155b46d4f2d6482b9c6edc12aceafa/moabb/paradigms/__init__.py#L10

help wanted
easy

https://github.com/NeuroTechX/moabb/blob/a840f7d16b155b46d4f2d6482b9c6edc12aceafa/moabb/benchmark.py#L80

help wanted
easy

FIX: Changing the pyproject.toml to accept mne 1.6.1 and removing poetry.lock I will explain a little better later, draft for now

The following datasets are not working with the braindecode loader: - - - - -

If you have time after the ICLR review period, it would be great if you could take a look.