BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces

• Published in: Frontiers in Neuroscience Vol. 14; p. 568104
• Main Authors: Simões, Marco, Borra, Davide, Santamaría-Vázquez, Eduardo, Bittencourt-Villalpando, Mayra, Krzemiński, Dominik, Miladinović, Aleksandar, Schmid, Thomas, Zhao, Haifeng, Amaral, Carlos, Direito, Bruno, Henriques, Jorge, Carvalho, Paulo, Castelo-Branco, Miguel
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Media SA 18.09.2020; Frontiers Research Foundation; Frontiers Media S.A
• Subjects: Algorithms; Autism; autism spectrum disorder; autism spectrum disorder; benchmark dataset; brain-computer interface; EEG; multi-session; multi-subject; P300; benchmark dataset; Brain research; brain-computer interface; Datasets; Discriminant analysis; EEG; EEG; P300; autism spectrum disorder; benchmark dataset; brain-computer interface; multi-session; multi-subject; Electroencephalography; Interfaces; Medical research; multi-session; multi-subject; Neural networks; Neuroscience; Neurosciences. Biological psychiatry. Neuropsychiatry; P300; RC321-571

There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive datasets with various individuals and multiple sessions has limit...