moabb
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Mother of All BCI Benchmarks
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_
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...
Currently for BNCI2014001, BNCI2014002, BNCI2014004, BNCI2015001
https://github.com/NeuroTechX/moabb/blob/a840f7d16b155b46d4f2d6482b9c6edc12aceafa/moabb/paradigms/__init__.py#L10
https://github.com/NeuroTechX/moabb/blob/a840f7d16b155b46d4f2d6482b9c6edc12aceafa/moabb/benchmark.py#L80
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.