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Items: 1 to 20 of 284

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. doi: 10.1088/1741-2560/10/3/036025. Epub 2013 May 20.

PMID:
23685458
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. doi: 10.1109/TNSRE.2013.2243471.

PMID:
23476005
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. doi: 10.1109/TBME.2013.2253608. Epub 2013 Mar 20.

PMID:
23529075
4.

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. doi: 10.1088/1741-2560/12/1/016013. Epub 2015 Jan 14.

5.

Transductive SVM for reducing the training effort in BCI.

Liao X, Yao D, Li C.

J Neural Eng. 2007 Sep;4(3):246-54. Epub 2007 May 30.

PMID:
17873427
6.

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. doi: 10.1088/1741-2560/11/3/035005. Epub 2014 May 19.

PMID:
24834896
7.

An effective BCI speller based on semi-supervised learning.

Li H, Li Y, Guan C.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1161-4.

PMID:
17946028
8.

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. Epub 2007 Mar 27. Review.

PMID:
17409474
9.

Towards adaptive classification for BCI.

Shenoy P, Krauledat M, Blankertz B, Rao RP, Müller KR.

J Neural Eng. 2006 Mar;3(1):R13-23. Epub 2006 Mar 1.

PMID:
16510936
10.

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. Epub 2007 Jan 31. Review.

PMID:
17409472
11.

Preprocessing and meta-classification for brain-computer interfaces.

Hammon PS, de Sa VR.

IEEE Trans Biomed Eng. 2007 Mar;54(3):518-25.

PMID:
17355065
12.

Spatiotemporal source tuning filter bank for multiclass EEG based brain computer interfaces.

Acharya S, Mollazadeh M, Murari K, Thakor N.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:327-30.

PMID:
17946815
13.

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. doi: 10.1088/1741-2560/11/3/036003. Epub 2014 Apr 16.

PMID:
24737114
14.

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.

PMID:
17073333
15.

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. doi: 10.1016/j.neunet.2011.05.006. Epub 2011 Jun 6.

PMID:
21696919
16.

An automated and fast approach to detect single-trial visual evoked potentials with application to brain-computer interface.

Tu Y, Hung YS, Hu L, Huang G, Hu Y, Zhang Z.

Clin Neurophysiol. 2014 Dec;125(12):2372-83. doi: 10.1016/j.clinph.2014.03.028. Epub 2014 Apr 13.

PMID:
24794514
17.

User-centered design in brain-computer interfaces-a case study.

Schreuder M, Riccio A, Risetti M, Dähne S, Ramsay A, Williamson J, Mattia D, Tangermann M.

Artif Intell Med. 2013 Oct;59(2):71-80. doi: 10.1016/j.artmed.2013.07.005. Epub 2013 Sep 13.

18.

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. doi: 10.1109/TBME.2007.913986.

PMID:
18440905
19.

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. doi: 10.1109/TBME.2008.915728.

PMID:
18334407
20.

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.

PMID:
16792284
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