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Dataset . 2019
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
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Brain Invaders calibration-less P300-based BCI with modulation of flash duration Dataset (bi2015a)

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

Brain Invaders calibration-less P300-based BCI with modulation of flash duration Dataset (bi2015a)

Abstract

Summary: This dataset contains electroencephalographic (EEG) recordings of 50 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 32 active wet electrodes with three conditions: flash duration 50ms, 80ms or 110ms. The experiment took place at GIPSA-lab, Grenoble, France, in 2015. A full description of the experiment is available at https://hal.archives-ouvertes.fr/hal-02172347. Python code for manipulating the data is available at https://github.com/plcrodrigues/py.BI.EEG.2015a-GIPSA. The ID of this dataset is bi2015a. Full description of the experiment and dataset: https://hal.archives-ouvertes.fr/hal-02172347 Investigators: Eng. Louis Korczowski, B. Sc. Martine Cederhout 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: bi2015a

Keywords

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

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selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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3
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