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Pubmed for Handhelds

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Journal Abstract Search

383 related items for PubMed ID: 15992486

  • 1. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity.
    Okatan M, Wilson MA, Brown EN.
    Neural Comput; 2005 Sep; 17(9):1927-61. PubMed ID: 15992486
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  • 8. Decoding movement trajectories through a T-maze using point process filters applied to place field data from rat hippocampal region CA1.
    Huang Y, Brandon MP, Griffin AL, Hasselmo ME, Eden UT.
    Neural Comput; 2009 Dec; 21(12):3305-34. PubMed ID: 19764871
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  • 9. Ascertaining the importance of neurons to develop better brain-machine interfaces.
    Sanchez JC, Carmena JM, Lebedev MA, Nicolelis MA, Harris JG, Principe JC.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):943-53. PubMed ID: 15188862
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  • 14. Analysis of cultured neuronal networks using intraburst firing characteristics.
    Stegenga J, Le Feber J, Marani E, Rutten WL.
    IEEE Trans Biomed Eng; 2008 Apr; 55(4):1382-90. PubMed ID: 18390329
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  • 16. Estimating a state-space model from point process observations.
    Smith AC, Brown EN.
    Neural Comput; 2003 May; 15(5):965-91. PubMed ID: 12803953
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  • 17. Model-based neural decoding of reaching movements: a maximum likelihood approach.
    Kemere C, Shenoy KV, Meng TH.
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):925-32. PubMed ID: 15188860
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  • 18. A general likelihood framework for characterizing the time course of neural activity.
    Prerau MJ, Eden UT.
    Neural Comput; 2011 Oct; 23(10):2537-66. PubMed ID: 21732865
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  • 19. Computation with spikes in a winner-take-all network.
    Oster M, Douglas R, Liu SC.
    Neural Comput; 2009 Sep; 21(9):2437-65. PubMed ID: 19548795
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  • 20. Functional connectivity among spike trains in neural assemblies during rat working memory task.
    Xie J, Bai W, Liu T, Tian X.
    Behav Brain Res; 2014 Nov 01; 274():248-57. PubMed ID: 25150041
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