moabb.datasets.BI2014b#

class moabb.datasets.BI2014b(subjects=None, sessions=None)[source]#

P300 dataset BI2014b from a “Brain Invaders” experiment.

PapersWithCode leaderboard: https://paperswithcode.com/dataset/braininvaders2014b-moabb

Dataset summary

#Subj

38

#Chan

32

#Trials / class

200 NT / 40 T

Trials length

1 s

Freq

512 Hz

#Sessions

3

Participants

  • Population: healthy

  • Age: 24.1 years

  • BCI experience: not naïve users - selected on the basis of their individual score during a preliminary session of Brain Invaders

Equipment

  • Amplifier: g.USBamp (g.tec, Schiedlberg, Austria)

  • Electrodes: wet electrodes

  • Montage: 10-10

  • Reference: right earlobe

Preprocessing

  • Data state: raw EEG with no digital filter applied, synchronized experimental tags using USB analog-to-digital converter to reduce jitter

  • Notes: Experimental tags produced by Brain Invaders 2 were synchronized with EEG signals using USB analog-to-digital converter connected to g.USBamp trigger channel. This tagging procedure allows consistent tagging latency and jitter.

Data Access

Experimental Protocol

  • Paradigm: p300

  • Task type: oddball

  • Feedback: visual (game interface)

  • Stimulus: visual flashes

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This dataset contains electroencephalographic (EEG) recordings of 38 subjects playing in pair (19 pairs) to the multi-user version of a visual P300-based Brain-Computer Interface (BCI) named Brain Invaders. The interface uses the oddball paradigm on a grid of 36 symbols (1 Target, 35 Non-Target) that are flashed pseudo-randomly to elicit a P300 response, an evoked-potential appearing about 300ms after stimulation onset. EEG data were recorded using 32 active wet electrodes per subjects (total: 64 electrodes) during three randomized conditions (Solo1, Solo2, Collaboration). The experiment took place at GIPSA-lab, Grenoble, France, in 2014. A full description of the experiment is available at [1]. The ID of this dataset is BI2014b.

Investigators:

Eng. Louis Korczowski, B. Sc. Ekaterina Ostaschenko

Technical Support:

Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret

Scientific Supervisor:

Ph.D. Marco Congedo

Notes

Note

BI2014b was previously named bi2014b. bi2014b will be removed in version 1.1.

Added in version 0.4.6.

References

[1]

Korczowski, L., Ostaschenko, E., Andreev, A., Cattan, G., Rodrigues, P. L. C., Gautheret, V., & Congedo, M. (2019). Brain Invaders Solo versus Collaboration: Multi-User P300-Based Brain-Computer Interface Dataset (BI2014b). https://hal.archives-ouvertes.fr/hal-02173958

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