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Journal Abstract Search

198 related items for PubMed ID: 25438320

  • 1. Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.
    Mainsah BO, Morton KD, Collins LM, Sellers EW, Throckmorton CS.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):737-43. PubMed ID: 25438320
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  • 2. 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; 24(1):46-56. PubMed ID: 26302518
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  • 4. 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; 26(1):26-36. PubMed ID: 28945598
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  • 5. Non-target adjacent stimuli classification improves performance of classical ERP-based brain computer interface.
    Ceballos GA, Hernández LF.
    J Neural Eng; 2015 Apr; 12(2):026009. PubMed ID: 25710243
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  • 10. A novel EEG-based spelling system using N100 and P300.
    Sato H, Washizawa Y.
    Stud Health Technol Inform; 2014 Apr; 205():428-32. PubMed ID: 25160220
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  • 13. Initial test of a T9-like P300-based speller by an ALS patient.
    Ron-Angevin R, Varona-Moya S, da Silva-Sauer L.
    J Neural Eng; 2015 Aug; 12(4):046023. PubMed ID: 26083683
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  • 14. A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature.
    Xu M, Qi H, Wan B, Yin T, Liu Z, Ming D.
    J Neural Eng; 2013 Apr; 10(2):026001. PubMed ID: 23369924
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  • 20. P300 Chinese input system based on Bayesian LDA.
    Jin J, Allison BZ, Brunner C, Wang B, Wang X, Zhang J, Neuper C, Pfurtscheller G.
    Biomed Tech (Berl); 2010 Feb; 55(1):5-18. PubMed ID: 20128741
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