430 related articles for article (PubMed ID: 23685458)
1. 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]
2. Spatial-temporal discriminant analysis for ERP-based brain-computer interface.
Zhang Y; Zhou G; Zhao Q; Jin J; Wang X; Cichocki A
IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):233-43. PubMed ID: 23476005
[TBL] [Abstract][Full Text] [Related]
3. Transferring subspaces between subjects in brain--computer interfacing.
Samek W; Meinecke FC; Muller KR
IEEE Trans Biomed Eng; 2013 Aug; 60(8):2289-98. PubMed ID: 23529075
[TBL] [Abstract][Full Text] [Related]
4. Transductive SVM for reducing the training effort in BCI.
Liao X; Yao D; Li C
J Neural Eng; 2007 Sep; 4(3):246-54. PubMed ID: 17873427
[TBL] [Abstract][Full Text] [Related]
5. Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller.
Kindermans PJ; Tangermann M; Müller KR; Schrauwen B
J Neural Eng; 2014 Jun; 11(3):035005. PubMed ID: 24834896
[TBL] [Abstract][Full Text] [Related]
6. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.
Bashashati A; Fatourechi M; Ward RK; Birch GE
J Neural Eng; 2007 Jun; 4(2):R32-57. PubMed ID: 17409474
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.
Mainsah BO; Collins LM; Colwell KA; Sellers EW; Ryan DB; Caves K; Throckmorton CS
J Neural Eng; 2015 Feb; 12(1):016013. PubMed ID: 25588137
[TBL] [Abstract][Full Text] [Related]
9. A review of classification algorithms for EEG-based brain-computer interfaces.
Lotte F; Congedo M; Lécuyer A; Lamarche F; Arnaldi B
J Neural Eng; 2007 Jun; 4(2):R1-R13. PubMed ID: 17409472
[TBL] [Abstract][Full Text] [Related]
10. Preprocessing and meta-classification for brain-computer interfaces.
Hammon PS; de Sa VR
IEEE Trans Biomed Eng; 2007 Mar; 54(3):518-25. PubMed ID: 17355065
[TBL] [Abstract][Full Text] [Related]
11. Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller.
Perdikis S; Leeb R; Williamson J; Ramsay A; Tavella M; Desideri L; Hoogerwerf EJ; Al-Khodairy A; Murray-Smith R; Millán JD
J Neural Eng; 2014 Jun; 11(3):036003. PubMed ID: 24737114
[TBL] [Abstract][Full Text] [Related]
12. Combined optimization of spatial and temporal filters for improving brain-computer interfacing.
Dornhege G; Blankertz B; Krauledat M; Losch F; Curio G; Müller KR
IEEE Trans Biomed Eng; 2006 Nov; 53(11):2274-81. PubMed ID: 17073333
[TBL] [Abstract][Full Text] [Related]
13. On the use of interaction error potentials for adaptive brain computer interfaces.
Llera A; van Gerven MA; Gómez V; Jensen O; Kappen HJ
Neural Netw; 2011 Dec; 24(10):1120-7. PubMed ID: 21696919
[TBL] [Abstract][Full Text] [Related]
14. Single-trial EEG source reconstruction for brain-computer interface.
Noirhomme Q; Kitney RI; Macq B
IEEE Trans Biomed Eng; 2008 May; 55(5):1592-601. PubMed ID: 18440905
[TBL] [Abstract][Full Text] [Related]
15. BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller.
Rakotomamonjy A; Guigue V
IEEE Trans Biomed Eng; 2008 Mar; 55(3):1147-54. PubMed ID: 18334407
[TBL] [Abstract][Full Text] [Related]
16. Towards a robust BCI: error potentials and online learning.
Buttfield A; Ferrez PW; Millán Jdel R
IEEE Trans Neural Syst Rehabil Eng; 2006 Jun; 14(2):164-8. PubMed ID: 16792284
[TBL] [Abstract][Full Text] [Related]
17. BCI Competition 2003--Data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals.
Mensh BD; Werfel J; Seung HS
IEEE Trans Biomed Eng; 2004 Jun; 51(6):1052-6. PubMed ID: 15188877
[TBL] [Abstract][Full Text] [Related]
18. Bispectrum-based feature extraction technique for devising a practical brain-computer interface.
Shahid S; Prasad G
J Neural Eng; 2011 Apr; 8(2):025014. PubMed ID: 21436530
[TBL] [Abstract][Full Text] [Related]
19. Different classification techniques considering brain computer interface applications.
Rezaei S; Tavakolian K; Nasrabadi AM; Setarehdan SK
J Neural Eng; 2006 Jun; 3(2):139-44. PubMed ID: 16705270
[TBL] [Abstract][Full Text] [Related]
20. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
Boostani R; Moradi MH
J Neural Eng; 2004 Dec; 1(4):212-7. PubMed ID: 15876641
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
