Decoding of top-down cognitive processing for SSVEP-controlled BMI

We present a fast and accurate non-invasive brain-machine interface (BMI) based on demodulating steady-state visual evoked potentials (SSVEPs) in electroencephalography (EEG). Our study reports an SSVEP-BMI that, for the first time, decodes primarily based on top-down and not bottom-up visual inform...

Descripción completa

Detalles Bibliográficos
Autores principales: Min, Byoung-Kyong, Dähne, Sven, Ahn, Min-Hee, Noh, Yung-Kyun, Müller, Klaus-Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093690/
https://www.ncbi.nlm.nih.gov/pubmed/27808125
http://dx.doi.org/10.1038/srep36267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093690/
https://www.ncbi.nlm.nih.gov/pubmed/27808125
http://dx.doi.org/10.1038/srep36267

Ejemplares similares