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

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

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...

Full description

Bibliographic Details
Main Authors: Marco Simões, Davide Borra, Eduardo Santamaría-Vázquez, GBT-UPM, Mayra Bittencourt-Villalpando, Dominik Krzemiński, Aleksandar Miladinović, Neural_Engineering_Group, Thomas Schmid, Haifeng Zhao, Carlos Amaral, Bruno Direito, Jorge Henriques, Paulo Carvalho, Miguel Castelo-Branco
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Neuroscience
Subjects:
P300
EEG
benchmark dataset
brain-computer interface
autism spectrum disorder
multi-session
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.568104/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.568104/full

Similar Items