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Journal Abstract Search


180 related items for PubMed ID: 22336293

  • 1. Online detection of error-related potentials boosts the performance of mental typewriters.
    Schmidt NM, Blankertz B, Treder MS.
    BMC Neurosci; 2012 Feb 15; 13():19. PubMed ID: 22336293
    [Abstract] [Full Text] [Related]

  • 2. Online detection of P300 and error potentials in a BCI speller.
    Dal Seno B, Matteucci M, Mainardi L.
    Comput Intell Neurosci; 2010 Feb 15; 2010():307254. PubMed ID: 20169142
    [Abstract] [Full Text] [Related]

  • 3. Double ErrP Detection for Automatic Error Correction in an ERP-Based BCI Speller.
    Cruz A, Pires G, Nunes UJ.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jan 15; 26(1):26-36. PubMed ID: 28945598
    [Abstract] [Full Text] [Related]

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  • 5. On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller.
    Bevilacqua M, Perdikis S, Millan JDR.
    IEEE Open J Eng Med Biol; 2020 Jan 15; 1():17-22. PubMed ID: 35402943
    [Abstract] [Full Text] [Related]

  • 6. Online detection of class-imbalanced error-related potentials evoked by motor imagery.
    Liu Q, Zheng W, Chen K, Ma L, Ai Q.
    J Neural Eng; 2021 Apr 26; 18(4):. PubMed ID: 33823492
    [Abstract] [Full Text] [Related]

  • 7. Towards error categorisation in BCI: single-trial EEG classification between different errors.
    Wirth C, Dockree PM, Harty S, Lacey E, Arvaneh M.
    J Neural Eng; 2019 Dec 11; 17(1):016008. PubMed ID: 31683267
    [Abstract] [Full Text] [Related]

  • 8. Adding Real-Time Bayesian Ranks to Error-Related Potential Scores Improves Error Detection and Auto-Correction in a P300 Speller.
    Zeyl T, Yin E, Keightley M, Chau T.
    IEEE Trans Neural Syst Rehabil Eng; 2016 Jan 11; 24(1):46-56. PubMed ID: 26302518
    [Abstract] [Full Text] [Related]

  • 9. Towards a robust BCI: error potentials and online learning.
    Buttfield A, Ferrez PW, Millán Jdel R.
    IEEE Trans Neural Syst Rehabil Eng; 2006 Jun 11; 14(2):164-8. PubMed ID: 16792284
    [Abstract] [Full Text] [Related]

  • 10. Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI.
    Spüler M, Bensch M, Kleih S, Rosenstiel W, Bogdan M, Kübler A.
    Clin Neurophysiol; 2012 Jul 11; 123(7):1328-37. PubMed ID: 22244309
    [Abstract] [Full Text] [Related]

  • 11. Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learning.
    Spüler M, Rosenstiel W, Bogdan M.
    PLoS One; 2012 Jul 11; 7(12):e51077. PubMed ID: 23236433
    [Abstract] [Full Text] [Related]

  • 12. A Dynamically Optimized SSVEP Brain-Computer Interface (BCI) Speller.
    Yin E, Zhou Z, Jiang J, Yu Y, Hu D.
    IEEE Trans Biomed Eng; 2015 Jun 11; 62(6):1447-56. PubMed ID: 24801483
    [Abstract] [Full Text] [Related]

  • 13. Error-related EEG potentials generated during simulated brain-computer interaction.
    Ferrez PW, del R Millan J.
    IEEE Trans Biomed Eng; 2008 Mar 11; 55(3):923-9. PubMed ID: 18334383
    [Abstract] [Full Text] [Related]

  • 14. Gaze-independent BCI-spelling using rapid serial visual presentation (RSVP).
    Acqualagna L, Blankertz B.
    Clin Neurophysiol; 2013 May 11; 124(5):901-8. PubMed ID: 23466266
    [Abstract] [Full Text] [Related]

  • 15. A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface.
    Ferracuti F, Casadei V, Marcantoni I, Iarlori S, Burattini L, Monteriù A, Porcaro C.
    Comput Methods Programs Biomed; 2020 Jul 11; 191():105419. PubMed ID: 32151908
    [Abstract] [Full Text] [Related]

  • 16. Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers.
    Orhan U, Erdogmus D, Roark B, Purwar S, Hild KE, Oken B, Nezamfar H, Fried-Oken M.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Jul 11; 2011():5774-7. PubMed ID: 22255652
    [Abstract] [Full Text] [Related]

  • 17. An error-aware gaze-based keyboard by means of a hybrid BCI system.
    Kalaganis FP, Chatzilari E, Nikolopoulos S, Kompatsiaris I, Laskaris NA.
    Sci Rep; 2018 Sep 04; 8(1):13176. PubMed ID: 30181532
    [Abstract] [Full Text] [Related]

  • 18. The cost of space independence in P300-BCI spellers.
    Chennu S, Alsufyani A, Filetti M, Owen AM, Bowman H.
    J Neuroeng Rehabil; 2013 Jul 29; 10():82. PubMed ID: 23895406
    [Abstract] [Full Text] [Related]

  • 19. Development of a robust asynchronous brain-switch using ErrP-based error correction.
    Yousefi R, Rezazadeh Sereshkeh A, Chau T.
    J Neural Eng; 2019 Nov 11; 16(6):066042. PubMed ID: 31571608
    [Abstract] [Full Text] [Related]

  • 20. 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 02; 462(1):94-8. PubMed ID: 19545601
    [Abstract] [Full Text] [Related]


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