Building Brain Invaders: EEG data of an experimental validation
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Abstract (arXiv)
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2649006 in mat and csv formats. 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). 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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2019.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 3; 2026: 1.
6 papers.
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- 2023First steps towards quantum machine learning applied to the classification of event-related potentialscited by 2
- 2025Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)cited by 1
- 2025A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG: Empirical Insights and a Proof-of-Concept Applicationcited by 0
- 2026NeuralBench: A Unifying Framework to Benchmark NeuroAI Models8 May 2026
- 2025A Statistical Mixture-of-Experts Framework for EMG Artifact Removal in EEG: Empirical Insights and a Proof-of-Concept Application21 Sep 2025
- 2025Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)7 Feb 2025
- 2025Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration9 Jan 2025
- 2024The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark3 Apr 2024
- 2023First steps towards quantum machine learning applied to the classification of event-related potentials6 Feb 2023