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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

270 related articles for article (PubMed ID: 21248378)

  • 1. Automated spike sorting algorithm based on Laplacian eigenmaps and k-means clustering.
    Chah E; Hok V; Della-Chiesa A; Miller JJ; O'Mara SM; Reilly RB
    J Neural Eng; 2011 Feb; 8(1):016006. PubMed ID: 21248378
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Graph-Laplacian features for neural waveform classification.
    Ghanbari Y; Papamichalis PE; Spence L
    IEEE Trans Biomed Eng; 2011 May; 58(5):1365-72. PubMed ID: 21047707
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance evaluation of PCA-based spike sorting algorithms.
    Adamos DA; Kosmidis EK; Theophilidis G
    Comput Methods Programs Biomed; 2008 Sep; 91(3):232-44. PubMed ID: 18565614
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.
    Quiroga RQ; Nadasdy Z; Ben-Shaul Y
    Neural Comput; 2004 Aug; 16(8):1661-87. PubMed ID: 15228749
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel automated spike sorting algorithm with adaptable feature extraction.
    Bestel R; Daus AW; Thielemann C
    J Neurosci Methods; 2012 Oct; 211(1):168-78. PubMed ID: 22951122
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hierarchical Adaptive Means (HAM) clustering for hardware-efficient, unsupervised and real-time spike sorting.
    Paraskevopoulou SE; Wu D; Eftekhar A; Constandinou TG
    J Neurosci Methods; 2014 Sep; 235():145-56. PubMed ID: 25035965
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A non-parametric method for automatic neural spike clustering based on the non-uniform distribution of the data.
    Tiganj Z; Mboup M
    J Neural Eng; 2011 Dec; 8(6):066014. PubMed ID: 22064910
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Bayesian clustering method for tracking neural signals over successive intervals.
    Wolf MT; Burdick JW
    IEEE Trans Biomed Eng; 2009 Nov; 56(11):2649-59. PubMed ID: 19643700
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spike sorting based on automatic template reconstruction with a partial solution to the overlapping problem.
    Zhang PM; Wu JY; Zhou Y; Liang PJ; Yuan JQ
    J Neurosci Methods; 2004 May; 135(1-2):55-65. PubMed ID: 15020089
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Method for unsupervised classification of multiunit neural signal recording under low signal-to-noise ratio.
    Kim KH; Kim SJ
    IEEE Trans Biomed Eng; 2003 Apr; 50(4):421-31. PubMed ID: 12723053
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Kalman filter mixture model for spike sorting of non-stationary data.
    Calabrese A; Paninski L
    J Neurosci Methods; 2011 Mar; 196(1):159-69. PubMed ID: 21182868
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic spike sorting for extracellular electrophysiological recording using unsupervised single linkage clustering based on grey relational analysis.
    Lai HY; Chen YY; Lin SH; Lo YC; Tsang S; Chen SY; Zhao WT; Chao WH; Chang YC; Wu R; Shih YY; Tsai ST; Jaw FS
    J Neural Eng; 2011 Jun; 8(3):036003. PubMed ID: 21464520
    [TBL] [Abstract][Full Text] [Related]  

  • 13. In quest of the missing neuron: spike sorting based on dominant-sets clustering.
    Adamos DA; Laskaris NA; Kosmidis EK; Theophilidis G
    Comput Methods Programs Biomed; 2012 Jul; 107(1):28-35. PubMed ID: 22136935
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Technology-aware algorithm design for neural spike detection, feature extraction, and dimensionality reduction.
    Gibson S; Judy JW; Marković D
    IEEE Trans Neural Syst Rehabil Eng; 2010 Oct; 18(5):469-78. PubMed ID: 20525534
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel framework for feature extraction in multi-sensor action potential sorting.
    Wu SC; Swindlehurst AL; Nenadic Z
    J Neurosci Methods; 2015 Sep; 253():262-71. PubMed ID: 26187403
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving spike separation using waveform derivatives.
    Yang Z; Zhao Q; Liu W
    J Neural Eng; 2009 Aug; 6(4):046006. PubMed ID: 19587393
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering.
    Nguyen T; Khosravi A; Creighton D; Nahavandi S
    J Neurosci Methods; 2014 Dec; 238():43-53. PubMed ID: 25256647
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fuzzy logic-based spike sorting system.
    Balasubramanian K; Obeid I
    J Neurosci Methods; 2011 May; 198(1):125-34. PubMed ID: 21463653
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis.
    Regalia G; Coelli S; Biffi E; Ferrigno G; Pedrocchi A
    Comput Intell Neurosci; 2016; 2016():8416237. PubMed ID: 27239191
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A graph-Laplacian-based feature extraction algorithm for neural spike sorting.
    Ghanbari Y; Spence L; Papamichalis P
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3142-5. PubMed ID: 19963574
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.