Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed Brain-Computer Interface.
Visual evoked potentials (VEPs) can be measured in the EEG as response to a visual stimulus. Commonly, VEPs are displayed by averaging multiple responses to a certain stimulus or a classifier is trained to identify the response to a certain stimulus. While the traditional approach is limited to a se...
Main Authors: | Sebastian Nagel, Martin Spüler |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC6197660?pdf=render |
Similar Items
-
World's fastest brain-computer interface: Combining EEG2Code with deep learning.
by: Sebastian Nagel, et al.
Published: (2019-01-01) -
A high-speed brain-computer interface (BCI) using dry EEG electrodes.
by: Martin Spüler
Published: (2017-01-01) -
Design of Visual Stimulation on Brain Computer Interface
by: Tsai-Ya Hung, et al.
Published: (2017) -
Effects of Audio and Visual Stimulation on EEG in Sleep Assessment and Brain Computer Interface
by: Aaron Raymond Ang See, et al.
Published: (106) -
High-Speed Visual Target Identification for Low-Cost Wearable Brain-Computer Interfaces
by: Dokyun Kim, et al.
Published: (2019-01-01)