moabb.datasets.BI2014b#
- class moabb.datasets.BI2014b[source]#
P300 dataset BI2014b from a “Brain Invaders” experiment.
PapersWithCode leaderboard: https://paperswithcode.com/dataset/braininvaders2014b-moabb
Dataset summary
#Subj
#Chan
#Trials / class
Trials length
Sampling rate
#Sessions
38
32
200 NT / 40 T
1s
512Hz
3
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 namedbi2014b
.bi2014b
will be removed in version 1.1.New 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