A Benchmark Dataset for RSVP-Based Brain–Computer Interfaces

A Benchmark Dataset for RSVP-Based Brain–Computer Interfaces

This paper reports on a benchmark dataset acquired with a brain–computer interface (BCI) system based on the rapid serial visual presentation (RSVP) paradigm. The dataset consists of 64-channel electroencephalogram (EEG) data from 64 healthy subjects (sub1,…, sub64) while they performed a target ima...

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Bibliographic Details
Main Authors: Shangen Zhang, Yijun Wang, Lijian Zhang, Xiaorong Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neuroscience
Subjects:
rapid serial visual presentation
brain–computer interface
electroencephalogram
target detection
public dataset
event-related potential
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.568000/full

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