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Items: 1 to 20 of 127

1.

Learning in closed-loop brain-machine interfaces: modeling and experimental validation.

Héliot R, Ganguly K, Jimenez J, Carmena JM.

IEEE Trans Syst Man Cybern B Cybern. 2010 Oct;40(5):1387-97. doi: 10.1109/TSMCB.2009.2036931. Epub 2009 Dec 15.

PMID:
20007050
2.

Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions.

Orsborn AL, Dangi S, Moorman HG, Carmena JM.

IEEE Trans Neural Syst Rehabil Eng. 2012 Jul;20(4):468-77. doi: 10.1109/TNSRE.2012.2185066.

PMID:
22772374
3.

Model analyses of visual biofeedback training for EEG-based brain-computer interface.

Chen CW, Ju MS, Sun YN, Lin CC.

J Comput Neurosci. 2009 Dec;27(3):357-68. doi: 10.1007/s10827-009-0148-4. Epub 2009 Apr 9.

PMID:
19357940
4.

A brain-computer interface with vibrotactile biofeedback for haptic information.

Chatterjee A, Aggarwal V, Ramos A, Acharya S, Thakor NV.

J Neuroeng Rehabil. 2007 Oct 17;4:40.

5.

Neurofeedback-based motor imagery training for brain-computer interface (BCI).

Hwang HJ, Kwon K, Im CH.

J Neurosci Methods. 2009 Apr 30;179(1):150-6. doi: 10.1016/j.jneumeth.2009.01.015. Epub 2009 Jan 29.

PMID:
19428521
6.

Neuronal mechanisms underlying control of a brain-computer interface.

Hinterberger T, Veit R, Wilhelm B, Weiskopf N, Vatine JJ, Birbaumer N.

Eur J Neurosci. 2005 Jun;21(11):3169-81.

PMID:
15978025
7.

Brain computer interface (BCI) tools developed in a clinical environment.

Anderson NR, DeVries EM.

Am J Electroneurodiagnostic Technol. 2010 Sep;50(3):187-98.

PMID:
20957974
8.

BCI Competition 2003--Data set IIa: spatial patterns of self-controlled brain rhythm modulations.

Blanchard G, Blankertz B.

IEEE Trans Biomed Eng. 2004 Jun;51(6):1062-6.

PMID:
15188879
9.

Coadaptive brain-machine interface via reinforcement learning.

DiGiovanna J, Mahmoudi B, Fortes J, Principe JC, Sanchez JC.

IEEE Trans Biomed Eng. 2009 Jan;56(1):54-64. doi: 10.1109/TBME.2008.926699.

PMID:
19224719
10.

Asynchronous P300-based brain-computer interfaces: a computational approach with statistical models.

Zhang H, Guan C, Wang C.

IEEE Trans Biomed Eng. 2008 Jun;55(6):1754-63.

PMID:
18714840
11.

Unsupervised brain computer interface based on intersubject information and online adaptation.

Lu S, Guan C, Zhang H.

IEEE Trans Neural Syst Rehabil Eng. 2009 Apr;17(2):135-45. doi: 10.1109/TNSRE.2009.2015197. Epub 2009 Feb 18.

PMID:
19228561
12.

Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interface.

Suminski AJ, Willett FR, Fagg AH, Bodenhamer M, Hatsopoulos NG.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5802-6. doi: 10.1109/IEMBS.2011.6091436.

PMID:
22255659
13.

Validation of brain-machine interfaces during parabolic flight.

Millàn Jdel R, Ferrez PW, Seidl T.

Int Rev Neurobiol. 2009;86:189-97. doi: 10.1016/S0074-7742(09)86014-5.

PMID:
19608000
14.

EEG changes accompanying learned regulation of 12-Hz EEG activity.

Delorme A, Makeig S.

IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):133-7.

PMID:
12899255
15.

Extracting an evaluative feedback from the brain for adaptation of motor neuroprosthetic decoders.

Mahmoudi B, Principe JC, Sanchez JC.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:1682-5. doi: 10.1109/IEMBS.2010.5626827.

PMID:
21096396
16.

Stochastic optimal control as a theory of brain-machine interface operation.

Lagang M, Srinivasan L.

Neural Comput. 2013 Feb;25(2):374-417. doi: 10.1162/NECO_a_00394. Epub 2012 Nov 13.

PMID:
23148413
17.

Learning to control brain rhythms: making a brain-computer interface possible.

Pineda JA, Silverman DS, Vankov A, Hestenes J.

IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):181-4.

PMID:
12899268
18.

Parallel man-machine training in development of EEG-based cursor control.

Kostov A, Polak M.

IEEE Trans Rehabil Eng. 2000 Jun;8(2):203-5.

PMID:
10896187
19.

Brain-computer interface (BCI) operation: signal and noise during early training sessions.

McFarland DJ, Sarnacki WA, Vaughan TM, Wolpaw JR.

Clin Neurophysiol. 2005 Jan;116(1):56-62.

PMID:
15589184
20.

The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.

Blankertz B, Dornhege G, Krauledat M, Müller KR, Curio G.

Neuroimage. 2007 Aug 15;37(2):539-50. Epub 2007 Mar 1.

PMID:
17475513

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