A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller

Journal of Neural Engineering

Volumn 7, Issue 2, 2010, Pages

  Martens, S M M ^a   Leiva, J M ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN SIGNALS; DISCRIMINATIVE APPROACH; EVENT RELATED POTENTIALS; GENERATIVE MODEL; PREDICTION PERFORMANCE; PRIOR KNOWLEDGE; STATE OF THE ART; TRAINING DATA;

INTERFACES (COMPUTER); OPTICAL SENSORS;

BRAIN COMPUTER INTERFACE;

ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN DEPTH STIMULATION; DISCRIMINATION LEARNING; ELECTROENCEPHALOGRAM; LEARNING; NOISE MEASUREMENT; PREDICTION; PRIORITY JOURNAL; STEADY STATE; VISION; ALGORITHM; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER INTERFACE; COMPUTER PROGRAM; EVOKED VISUAL RESPONSE; HUMAN; PHYSIOLOGY; SIGNAL PROCESSING; WRITING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; EVOKED POTENTIALS, VISUAL; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; USER-COMPUTER INTERFACE; WRITING;

EID: 77949882933     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/7/2/026003     Document Type: Article

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