BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces (per-subject ZIPs)
Simoes, Marco; Borra, Davide; Santamaria-Vazquez, Eduardo; Castelo-Branco, Miguel;
BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces (per-subject ZIPs)
Re-hosted per-subject ZIP archives of the BCIAUT-P300 dataset from Simoes et al. (2020) for programmatic access in MOABB. Original data: Kaggle 15 ASD subjects, 7 sessions each, 8 EEG channels at 250 Hz. Pre-epoched MATLAB files with Target/NonTarget labels. Paper: Simoes et al. (2020). BCIAUT-P300. Frontiers in Neuroscience, 14, 568104. DOI: 10.3389/fnins.2020.568104
MOABB, autism, EEG, P300, BCI, ASD
MOABB, autism, EEG, P300, BCI, ASD
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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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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