A subject-independent pattern-based Brain-Computer Interface

A subject-independent pattern-based Brain-Computer Interface

While earlier Brain-Computer Interface (BCI) studies have mostly focused on modulating specific brain regions or signals, new developments in pattern classification of brain states are enabling real-time decoding and modulation of an entire functional network. The present study proposes a new method...

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Bibliographic Details
Main Authors: Andreas Markus Ray, Ranganatha eSitaram, Mohit eRana, Emanuele ePasqualotto, Korhan eBuyukturkoglu, Cuntai eGuan, Kai Keng eAng, Cristián eTejos, Francisco Javier Zamorano, Francisco eAboitiz, Niels eBirbaumer, Sergio eRuiz
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-10-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
Neurofeedback
BCI
Common Spatial Patterns
Subject-independent classification
Emotion imagery
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbeh.2015.00269/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbeh.2015.00269/full

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