These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

249 related articles for article (PubMed ID: 21095857)

  • 1. Toward unsupervised adaptation of LDA for brain-computer interfaces.
    Vidaurre C; Kawanabe M; von Bünau P; Blankertz B; Müller KR
    IEEE Trans Biomed Eng; 2011 Mar; 58(3):587-97. PubMed ID: 21095857
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.
    Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
    IEEE Trans Biomed Eng; 2007 Mar; 54(3):550-6. PubMed ID: 17355071
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Adaptation in P300 brain-computer interfaces: a two-classifier cotraining approach.
    Panicker RC; Puthusserypady S; Sun Y
    IEEE Trans Biomed Eng; 2010 Dec; 57(12):2927-35. PubMed ID: 20639171
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning from feedback training data at a self-paced brain-computer interface.
    Zhang H; Liyanage SR; Wang C; Guan C
    J Neural Eng; 2011 Aug; 8(4):046035. PubMed ID: 21772075
    [TBL] [Abstract][Full Text] [Related]  

  • 6. xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.
    Rivet B; Souloumiac A; Attina V; Gibert G
    IEEE Trans Biomed Eng; 2009 Aug; 56(8):2035-43. PubMed ID: 19174332
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Plausibility assessment of a 2-state self-paced mental task-based BCI using the no-control performance analysis.
    Faradji F; Ward RK; Birch GE
    J Neurosci Methods; 2009 Jun; 180(2):330-9. PubMed ID: 19439361
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving BCI performance by task-related trial pruning.
    Sannelli C; Braun M; Müller KR
    Neural Netw; 2009 Nov; 22(9):1295-304. PubMed ID: 19762208
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Faster self-organizing fuzzy neural network training and a hyperparameter analysis for a brain-computer interface.
    Coyle D; Prasad G; McGinnity TM
    IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1458-71. PubMed ID: 19493851
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An online EEG-based brain-computer interface for controlling hand grasp using an adaptive probabilistic neural network.
    Hazrati MKh; Erfanian A
    Med Eng Phys; 2010 Sep; 32(7):730-9. PubMed ID: 20510641
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Unsupervised brain computer interface based on intersubject information and online adaptation.
    Lu S; Guan C; Zhang H
    IEEE Trans Neural Syst Rehabil Eng; 2009 Apr; 17(2):135-45. PubMed ID: 19228561
    [TBL] [Abstract][Full Text] [Related]  

  • 14. BCI Meeting 2005--workshop on BCI signal processing: feature extraction and translation.
    McFarland DJ; Anderson CW; Müller KR; Schlögl A; Krusienski DJ
    IEEE Trans Neural Syst Rehabil Eng; 2006 Jun; 14(2):135-8. PubMed ID: 16792278
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.
    Huang D; Lin P; Fei DY; Chen X; Bai O
    J Neural Eng; 2009 Aug; 6(4):046005. PubMed ID: 19556679
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An empirical bayesian framework for brain-computer interfaces.
    Lei X; Yang P; Yao D
    IEEE Trans Neural Syst Rehabil Eng; 2009 Dec; 17(6):521-9. PubMed ID: 19622442
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Towards adaptive classification for BCI.
    Shenoy P; Krauledat M; Blankertz B; Rao RP; Müller KR
    J Neural Eng; 2006 Mar; 3(1):R13-23. PubMed ID: 16510936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Toward a hybrid brain-computer interface based on imagined movement and visual attention.
    Allison BZ; Brunner C; Kaiser V; Müller-Putz GR; Neuper C; Pfurtscheller G
    J Neural Eng; 2010 Apr; 7(2):26007. PubMed ID: 20332550
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rapid prototyping of an EEG-based brain-computer interface (BCI).
    Guger C; Schlögl A; Neuper C; Walterspacher D; Strein T; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2001 Mar; 9(1):49-58. PubMed ID: 11482363
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An EEG-based BCI system for 2-D cursor control by combining Mu/Beta rhythm and P300 potential.
    Li Y; Long J; Yu T; Yu Z; Wang C; Zhang H; Guan C
    IEEE Trans Biomed Eng; 2010 Oct; 57(10):2495-505. PubMed ID: 20615806
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.