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7. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance. Sellers EW; Krusienski DJ; McFarland DJ; Vaughan TM; Wolpaw JR Biol Psychol; 2006 Oct; 73(3):242-52. PubMed ID: 16860920 [TBL] [Abstract][Full Text] [Related]
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10. Convolutional neural networks for P300 detection with application to brain-computer interfaces. Cecotti H; Gräser A IEEE Trans Pattern Anal Mach Intell; 2011 Mar; 33(3):433-45. PubMed ID: 20567055 [TBL] [Abstract][Full Text] [Related]
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13. [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]
14. Novel protocols for P300-based brain-computer interfaces. Salvaris M; Cinel C; Citi L; Poli R IEEE Trans Neural Syst Rehabil Eng; 2012 Jan; 20(1):8-17. PubMed ID: 22180513 [TBL] [Abstract][Full Text] [Related]
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16. Impact of spatial filters during sensor selection in a visual P300 brain-computer interface. Rivet B; Cecotti H; Maby E; Mattout J Brain Topogr; 2012 Jan; 25(1):55-63. PubMed ID: 21744296 [TBL] [Abstract][Full Text] [Related]
17. An efficient P300-based brain-computer interface for disabled subjects. Hoffmann U; Vesin JM; Ebrahimi T; Diserens K J Neurosci Methods; 2008 Jan; 167(1):115-25. PubMed ID: 17445904 [TBL] [Abstract][Full Text] [Related]
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