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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Brain Invaders calibration-less P300-based BCI using dry EEG electrodes Dataset (bi2014a)

Authors: Korczowski, Louis; Ostaschenko, Ekaterina; Andreev, Anton; Cattan, Grégoire; Coelho Rodrigues, Pedro Luis; Gautheret, Violette; Congedo, Marco;

Brain Invaders calibration-less P300-based BCI using dry EEG electrodes Dataset (bi2014a)

Abstract

Summary: This dataset contains electroencephalographic (EEG) recordings of 71 subjects playing to a visual P300 Brain-Computer Interface (BCI) videogame 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 the P300 response. EEG data were recorded using 16 active dry electrodes with up to three game sessions. The experiment took place at GIPSA-lab, Grenoble, France, in 2014. A full description of the experiment is available at https://hal.archives-ouvertes.fr/hal-02171575. Python code for manipulating the data is available at https://github.com/plcrodrigues/py.BI.EEG.2014a-GIPSA. The ID of this dataset is bi2014a. Full description of the experiment and dataset: https://hal.archives-ouvertes.fr/hal-02171575 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 ID of the dataset: bi2014a

Keywords

Experiment, Multi-User, Electroencephalography (EEG), P300, Hyperscanning, Brain-Computer Interface (BCI), Collaboration

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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