An independent SSVEP-based brain–computer interface in locked-in syndrome

By Lesenfants D   Habbal D   Lugo Z   Lebeau M   Horki P   Amico E   Pokorny C   Gómez F   Soddu A   Müller-Putz G   Laureys S   Noirhomme Q  

Journal of Neural Engineering, Vol. 11, Iss. 3, 2014-06 ,pp. : 35002-35009

IOP Publishing

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Classification of binary intentions for individuals with impaired oculomotor function: `eyes-closed' SSVEP-based brain-computer interface (BCI)

By Lim Jeong-Hwan   Hwang Han-Jeong   Han Chang-Hee   Jung Ki-Young   Im Chang-Hwan  

Journal of Neural Engineering, Vol. 10, Iss. 2, 2013-04 ,pp. : 26021-26029

IOP Publishing

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Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

By Chen Xiaogang   Wang Yijun   Gao Shangkai   Jung Tzyy-Ping   Gao Xiaorong  

Journal of Neural Engineering, Vol. 12, Iss. 4, 2015-08 ,pp. : 46008-46021

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Leveraging anatomical information to improve transfer learning in brain–computer interfaces

By Wronkiewicz Mark   Larson Eric   Lee Adrian K C  

Journal of Neural Engineering, Vol. 12, Iss. 4, 2015-08 ,pp. : 46027-46038

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Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfaces

By Lu Jun   McFarland Dennis J.   Wolpaw Jonathan R.  

Journal of Neural Engineering, Vol. 10, Iss. 1, 2013-02 ,pp. : 16002-16015

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