moabb.datasets.BI2012#

class moabb.datasets.BI2012(Training=True, Online=False)[source]#

P300 dataset BI2012 from a “Brain Invaders” experiment.

PapersWithCode leaderboard: https://paperswithcode.com/dataset/braininvaders2012-moabb

Dataset summary

#Subj

#Chan

#Trials / class

Freq(Hz)

Trials length(s)

#Sessions

25

16

640 NT / 128 T

128

1

2

Dataset following the setup from [1] carried-out at University of Grenoble Alpes.

This dataset contains electroencephalographic (EEG) recordings of 25 subjects testing the Brain Invaders, a visual P300 Brain-Computer Interface inspired by the famous vintage video game Space Invaders (Taito, Tokyo, Japan). The visual P300 is an event-related potential elicited by a visual stimulation, peaking 240-600 ms after stimulus onset. EEG data were recorded by 16 electrodes in an experiment that took place in the GIPSA-lab, Grenoble, France, in 2012). A full description of the experiment is available in [1].

Principal Investigator:

B.Sc. Gijsbrecht Franciscus Petrus Van Veen

Technical Supervisors:

Ph.D. Alexandre Barachant, Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues

Scientific Supervisor:

Ph.D. Marco Congedo

ID of the dataset:

BI.EEG.2012-GIPSA

Notes

Note

BI2012 was previously named bi2012. bi2012 will be removed in version 1.1.

Added in version 0.4.6.

References

[1] (1,2)

Van Veen, G., Barachant, A., Andreev, A., Cattan, G., Rodrigues, P. C., & Congedo, M. (2019). Building Brain Invaders: EEG data of an experimental validation. arXiv preprint arXiv:1905.05182.

data_path(subject, path=None, force_update=False, update_path=None, verbose=None)[source]#

Get path to local copy of a subject data.

Parameters:

  • subject (int) – Number of subject to use

  • path (None | str) – Location of where to look for the data storing location. If None, the environment variable or config parameter MNE_DATASETS_(dataset)_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the dataset is not found under the given path, the data will be automatically downloaded to the specified folder.

  • force_update (bool) – Force update of the dataset even if a local copy exists.

  • update_path (bool | None Deprecated) – If True, set the MNE_DATASETS_(dataset)_PATH in mne-python config to the given path. If None, the user is prompted.

  • verbose (bool, str, int, or None) – If not None, override default verbose level (see mne.verbose()).

Returns:

path – Local path to the given data file. This path is contained inside a list of length one, for compatibility.

Return type:

list of str

On this page