These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

286 related items for PubMed ID: 16705271

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. A time-series prediction approach for feature extraction in a brain-computer interface.
    Coyle D, Prasad G, McGinnity TM.
    IEEE Trans Neural Syst Rehabil Eng; 2005 Dec; 13(4):461-7. PubMed ID: 16425827
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs.
    Glassman EL.
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1851-62. PubMed ID: 16285389
    [Abstract] [Full Text] [Related]

  • 7. Characterization of four-class motor imagery EEG data for the BCI-competition 2005.
    Schlögl A, Lee F, Bischof H, Pfurtscheller G.
    J Neural Eng; 2005 Dec; 2(4):L14-22. PubMed ID: 16317224
    [Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Superiority of nonlinear mapping in decoding multiple single-unit neuronal spike trains: a simulation study.
    Kim KH, Kim SS, Kim SJ.
    J Neurosci Methods; 2006 Jan 30; 150(2):202-11. PubMed ID: 16099513
    [Abstract] [Full Text] [Related]

  • 10. Evaluation of spike-detection algorithms for a brain-machine interface application.
    Obeid I, Wolf PD.
    IEEE Trans Biomed Eng; 2004 Jun 30; 51(6):905-11. PubMed ID: 15188857
    [Abstract] [Full Text] [Related]

  • 11. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    IEEE Trans Biomed Eng; 2007 Mar 30; 54(3):550-6. PubMed ID: 17355071
    [Abstract] [Full Text] [Related]

  • 12. An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface.
    Wang T, He B.
    J Neural Eng; 2004 Mar 30; 1(1):1-7. PubMed ID: 15876616
    [Abstract] [Full Text] [Related]

  • 13. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification.
    Garrett D, Peterson DA, Anderson CW, Thaut MH.
    IEEE Trans Neural Syst Rehabil Eng; 2003 Jun 30; 11(2):141-4. PubMed ID: 12899257
    [Abstract] [Full Text] [Related]

  • 14. Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces.
    Wang Y, Paiva AR, Príncipe JC, Sanchez JC.
    Neural Comput; 2009 Oct 30; 21(10):2894-930. PubMed ID: 19548797
    [Abstract] [Full Text] [Related]

  • 15. Evolutionary optimization of classifiers and features for single-trial EEG discrimination.
    Aberg MC, Wessberg J.
    Biomed Eng Online; 2007 Aug 23; 6():32. PubMed ID: 17716370
    [Abstract] [Full Text] [Related]

  • 16. Robustness of neuroprosthetic decoding algorithms.
    Serruya M, Hatsopoulos N, Fellows M, Paninski L, Donoghue J.
    Biol Cybern; 2003 Mar 23; 88(3):219-28. PubMed ID: 12647229
    [Abstract] [Full Text] [Related]

  • 17. Improved multi-unit decoding at the brain-machine interface using population temporal linear filtering.
    Herzfeld DJ, Beardsley SA.
    J Neural Eng; 2010 Aug 23; 7(4):046012. PubMed ID: 20644245
    [Abstract] [Full Text] [Related]

  • 18. Feature detection in motor cortical spikes by principal component analysis.
    Hu J, Si J, Olson BP, He J.
    IEEE Trans Neural Syst Rehabil Eng; 2005 Sep 23; 13(3):256-62. PubMed ID: 16200749
    [Abstract] [Full Text] [Related]

  • 19. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates.
    Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G.
    Biomed Tech (Berl); 2005 Nov 23; 50(11):350-4. PubMed ID: 16370147
    [Abstract] [Full Text] [Related]

  • 20. 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 23; 53(11):2274-81. PubMed ID: 17073333
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 15.