moabb
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NeuroTechX
Mother of All BCI Benchmarks
Hi, what would you say about using [Fire](https://github.com/google/python-fire) to launch benchmarks from a CLI instead of the `run.py` script?
Greeting, Thank you for your awesome work. The benchmark dataset of MoABB is very helpful for research in the field of EEG data analysis. Recently, we are expanding our [TorchEEG](https://github.com/torcheeg/torcheeg)...
Hi, new bug encountered: ```python from moabb.datasets import Ofner2017 Ofner2017(executed=True).get_data([1]) ``` ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[10], line 1 ----> 1 Ofner2017(executed=True).get_data([1]) File ~/miniconda3/envs/motor_embedding_benchmark/lib/python3.10/site-packages/moabb/datasets/base.py:113, in BaseDataset.get_data(self,...
We could continue the work of #374 to use the doc building only on PR merging into develop, using `workflow_run`, as documented in this [SO page](https://stackoverflow.com/a/69743847)
The work started in #364 introduced a `n_jobs_evaluation` in evaluation for WithinSession and CrossSession. We should do the same for CrossSubject to maintain consistency in all evaluation.
MOABB has a very good statistical methodology for experimental analysis and benchmarking algorithms. It could be a nice addition to reinforce these aspects with: - a specific example/tutorial, that details...
The Shin2017B dataset include tasks that are substraction & rest, it should not be listed in MI paradigm.
Existing CCA-based pipelines (CCA, TRCA, MsetCCA, see https://github.com/NeuroTechX/moabb/blob/79cbb71c1ed116d7e5bc9368311aff6f3e2b5f19/moabb/pipelines/classification.py#L14) need information about sampling frequency, stimulation frequencies, and/or epoch interval. This shouldn't be the case as it makes the pipelines dataset-dependant. A...
Please consider adding this dataset: https://data.mendeley.com/datasets/vyczny2r4w
