Which Physiological Components are More Suitable for Visual ERP Based Brain-Computer Interface? A Preliminary MEG/EEG Study

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@article{13e9b102a9eb4205b592ed329ed48992,

title = "Which Physiological Components are More Suitable for Visual ERP Based Brain-Computer Interface? A Preliminary MEG/EEG Study",

author = "L. Bianchi and S. Sami and A. Hillebrand and I.P. Fawcett and L.R. Quitadamo and S. Seri",

year = "2010",

doi = "10.1007/s10548-010-0143-0",

language = "Undefined/Unknown",

volume = "23",

pages = "180--185",

journal = "Brain topography",

issn = "0896-0267",

publisher = "Kluwer Academic/Human Sciences Press Inc.",

number = "2",

}

TY - JOUR

T1 - Which Physiological Components are More Suitable for Visual ERP Based Brain-Computer Interface? A Preliminary MEG/EEG Study

AU - Bianchi, L.

AU - Sami, S.

AU - Hillebrand, A.

AU - Fawcett, I.P.

AU - Quitadamo, L.R.

AU - Seri, S.

PY - 2010

Y1 - 2010

U2 - 10.1007/s10548-010-0143-0

DO - 10.1007/s10548-010-0143-0

M3 - Article

SN - 0896-0267

VL - 23

SP - 180

EP - 185

JO - Brain topography

JF - Brain topography

IS - 2

ER -