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Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Building Brain Invaders: EEG data of an experimental validation

Authors: Van Veen, Gijsbrecht Franciscus Petrus; Barachant, Alexandre; Andreev, Anton; Cattan, Grégoire; Coelho Rodrigues, Pedro Luis; Congedo, Marco;

Building Brain Invaders: EEG data of an experimental validation

Abstract

Summary: This dataset contains electroencephalographic (EEG) recordings of 25 subjects testing the Brain Invaders (Congedo, 2011), 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 (Van Veen, 2013 and Congedo, 2013). A full description of the experiment is available https://hal.archives-ouvertes.fr/hal-02126068. Python code for manipulating the data is available at https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA. The ID of this dataset is BI.EEG.2012-GIPSA. Full description of the experiment and dataset: https://hal.archives-ouvertes.fr/hal-02126068 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

Keywords

Experiment, Brain-Computer Interface, Electroencephalography (EEG), P300

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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).
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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.
BIP!Impulse provided by BIP!
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