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

Trials length

Sampling rate

#Sessions

25

16

640 NT / 128 T

1s

128Hz

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.

New 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