BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 21436515)

  • 1. Co-adaptive calibration to improve BCI efficiency.
    Vidaurre C; Sannelli C; Müller KR; Blankertz B
    J Neural Eng; 2011 Apr; 8(2):025009. PubMed ID: 21436515
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neurophysiological predictor of SMR-based BCI performance.
    Blankertz B; Sannelli C; Halder S; Hammer EM; Kübler A; Müller KR; Curio G; Dickhaus T
    Neuroimage; 2010 Jul; 51(4):1303-9. PubMed ID: 20303409
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sensorimotor rhythm-based brain-computer interface training: the impact on motor cortical responsiveness.
    Pichiorri F; De Vico Fallani F; Cincotti F; Babiloni F; Molinari M; Kleih SC; Neuper C; Kübler A; Mattia D
    J Neural Eng; 2011 Apr; 8(2):025020. PubMed ID: 21436514
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
    Blankertz B; Dornhege G; Krauledat M; Müller KR; Curio G
    Neuroimage; 2007 Aug; 37(2):539-50. PubMed ID: 17475513
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Neural mechanisms of brain-computer interface control.
    Halder S; Agorastos D; Veit R; Hammer EM; Lee S; Varkuti B; Bogdan M; Rosenstiel W; Birbaumer N; Kübler A
    Neuroimage; 2011 Apr; 55(4):1779-90. PubMed ID: 21256234
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine-learning-based coadaptive calibration for brain-computer interfaces.
    Vidaurre C; Sannelli C; Müller KR; Blankertz B
    Neural Comput; 2011 Mar; 23(3):791-816. PubMed ID: 21162666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Psychological predictors of SMR-BCI performance.
    Hammer EM; Halder S; Blankertz B; Sannelli C; Dickhaus T; Kleih S; Müller KR; Kübler A
    Biol Psychol; 2012 Jan; 89(1):80-6. PubMed ID: 21964375
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface.
    Neuper C; Scherer R; Wriessnegger S; Pfurtscheller G
    Clin Neurophysiol; 2009 Feb; 120(2):239-47. PubMed ID: 19121977
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.
    Kübler A; Nijboer F; Mellinger J; Vaughan TM; Pawelzik H; Schalk G; McFarland DJ; Birbaumer N; Wolpaw JR
    Neurology; 2005 May; 64(10):1775-7. PubMed ID: 15911809
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fast attainment of computer cursor control with noninvasively acquired brain signals.
    Bradberry TJ; Gentili RJ; Contreras-Vidal JL
    J Neural Eng; 2011 Jun; 8(3):036010. PubMed ID: 21493978
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bipolar electrode selection for a motor imagery based brain-computer interface.
    Lou B; Hong B; Gao X; Gao S
    J Neural Eng; 2008 Sep; 5(3):342-9. PubMed ID: 18756030
    [TBL] [Abstract][Full Text] [Related]  

  • 12. EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components.
    Pfurtscheller G; Flotzinger D; Pregenzer M; Wolpaw JR; McFarland D
    Med Prog Technol; 1995-1996; 21(3):111-21. PubMed ID: 8776708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pre-stimulus sensorimotor rhythms influence brain-computer interface classification performance.
    Maeder CL; Sannelli C; Haufe S; Blankertz B
    IEEE Trans Neural Syst Rehabil Eng; 2012 Sep; 20(5):653-62. PubMed ID: 22801528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI).
    Fabiani GE; McFarland DJ; Wolpaw JR; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Sep; 12(3):331-8. PubMed ID: 15473195
    [TBL] [Abstract][Full Text] [Related]  

  • 15. How many people are able to control a P300-based brain-computer interface (BCI)?
    Guger C; Daban S; Sellers E; Holzner C; Krausz G; Carabalona R; Gramatica F; Edlinger G
    Neurosci Lett; 2009 Oct; 462(1):94-8. PubMed ID: 19545601
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals.
    Brunner C; Allison BZ; Altstätter C; Neuper C
    J Neural Eng; 2011 Apr; 8(2):025010. PubMed ID: 21436538
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects.
    Blankertz B; Losch F; Krauledat M; Dornhege G; Curio G; Müller KR
    IEEE Trans Biomed Eng; 2008 Oct; 55(10):2452-62. PubMed ID: 18838371
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Neurofeedback-based motor imagery training for brain-computer interface (BCI).
    Hwang HJ; Kwon K; Im CH
    J Neurosci Methods; 2009 Apr; 179(1):150-6. PubMed ID: 19428521
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Wadsworth Center brain-computer interface (BCI) research and development program.
    Wolpaw JR; McFarland DJ; Vaughan TM; Schalk G
    IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):204-7. PubMed ID: 12899275
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On optimal channel configurations for SMR-based brain-computer interfaces.
    Sannelli C; Dickhaus T; Halder S; Hammer EM; Müller KR; Blankertz B
    Brain Topogr; 2010 Jun; 23(2):186-93. PubMed ID: 20162347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.