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 *

173 related articles for article (PubMed ID: 24099944)

  • 1. Offline analysis of context contribution to ERP-based typing BCI performance.
    Orhan U; Erdogmus D; Roark B; Oken B; Fried-Oken M
    J Neural Eng; 2013 Dec; 10(6):066003. PubMed ID: 24099944
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 2011():5774-7. PubMed ID: 22255652
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved accuracy using recursive bayesian estimation based language model fusion in ERP-based BCI typing systems.
    Orhan U; Erdogmus D; Roark B; Oken B; Purwar S; Hild KE; Fowler A; Fried-Oken M
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():2497-500. PubMed ID: 23366432
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Beyond maximum speed--a novel two-stimulus paradigm for brain-computer interfaces based on event-related potentials (P300-BCI).
    Kaufmann T; Kübler A
    J Neural Eng; 2014 Oct; 11(5):056004. PubMed ID: 25080406
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.
    Moghadamfalahi M; Orhan U; Akcakaya M; Nezamfar H; Fried-Oken M; Erdogmus D
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):910-20. PubMed ID: 25775495
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust detection of event-related potentials in a user-voluntary short-term imagery task.
    Lee MH; Williamson J; Kee YJ; Fazli S; Lee SW
    PLoS One; 2019; 14(12):e0226236. PubMed ID: 31877161
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feedback Related Potentials for EEG-Based Typing Systems.
    Gonzalez-Navarro P; Celik B; Moghadamfalahi M; Akcakaya M; Fried-Oken M; Erdoğmuş D
    Front Hum Neurosci; 2021; 15():788258. PubMed ID: 35145386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces.
    Cecotti H; Ries AJ
    Int J Psychophysiol; 2017 Jan; 111():156-169. PubMed ID: 27453051
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [The P300 based brain-computer interface: effect of stimulus position in a stimulus train].
    Ganin IP; Shishkin SL; Kochetova AG; Kaplan AIa
    Fiziol Cheloveka; 2012; 38(2):5-13. PubMed ID: 22679792
    [TBL] [Abstract][Full Text] [Related]  

  • 10. EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy.
    Lee MH; Kwon OY; Kim YJ; Kim HK; Lee YE; Williamson J; Fazli S; Lee SW
    Gigascience; 2019 May; 8(5):. PubMed ID: 30698704
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Context Information Significantly Improves Brain Computer Interface Performance - a Case Study on Text Entry Using a Language Model Assisted BCI.
    Orhan U; Erdogmus D; Hild KE; Roark B; Oken B; Fried-Oken M
    Conf Rec Asilomar Conf Signals Syst Comput; 2011 Nov; 45():132-136. PubMed ID: 24976741
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating brain-computer interface performance using color in the P300 checkerboard speller.
    Ryan DB; Townsend G; Gates NA; Colwell K; Sellers EW
    Clin Neurophysiol; 2017 Oct; 128(10):2050-2057. PubMed ID: 28863361
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.
    Mainsah BO; Reeves G; Collins LM; Throckmorton CS
    J Neural Eng; 2017 Aug; 14(4):046025. PubMed ID: 28548052
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface.
    Tu Y; Huang G; Hung YS; Hu L; Hu Y; Zhang Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():2882-5. PubMed ID: 24110329
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mental fatigue in central-field and peripheral-field steady-state visually evoked potential and its effects on event-related potential responses.
    Lee MH; Williamson J; Lee YE; Lee SW
    Neuroreport; 2018 Oct; 29(15):1301-1308. PubMed ID: 30102642
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Data-Adaptive Spatiotemporal ERP Cleaning for Single-Trial BCI Implementation.
    Molla MKI; Morikawa N; Islam MR; Tanaka T
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jul; 26(7):1334-1344. PubMed ID: 29993552
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Comparison of event-related potentials components characteristics obtained during stimulation of symbolical and alphabetic matrixes used in brain-computer interface paradigm].
    Saltykov KA; Bark ED; Kulikov MA
    Fiziol Cheloveka; 2014; 40(4):18-26. PubMed ID: 25707215
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An idle state-detecting method based on transient visual evoked potentials for an asynchronous ERP-based BCI.
    Gong M; Xu G; Li M; Lin F
    J Neurosci Methods; 2020 May; 337():108670. PubMed ID: 32142909
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.
    Jin J; Sellers EW; Zhou S; Zhang Y; Wang X; Cichocki A
    Int J Neural Syst; 2015 May; 25(3):1550011. PubMed ID: 25804352
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods.
    Schreuder M; Höhne J; Blankertz B; Haufe S; Dickhaus T; Tangermann M
    J Neural Eng; 2013 Jun; 10(3):036025. PubMed ID: 23685458
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.