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 *

311 related articles for article (PubMed ID: 15020089)

  • 1. 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]  

  • 2. Automatic sorting for multi-neuronal activity recorded with tetrodes in the presence of overlapping spikes.
    Takahashi S; Anzai Y; Sakurai Y
    J Neurophysiol; 2003 Apr; 89(4):2245-58. PubMed ID: 12612049
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Spike sorting with hidden Markov models.
    Herbst JA; Gammeter S; Ferrero D; Hahnloser RH
    J Neurosci Methods; 2008 Sep; 174(1):126-34. PubMed ID: 18619490
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Wavelet-based processing of neuronal spike trains prior to discriminant analysis.
    Laubach M
    J Neurosci Methods; 2004 Apr; 134(2):159-68. PubMed ID: 15003382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A simple method for efficient spike detection in multiunit recordings.
    Borghi T; Gusmeroli R; Spinelli AS; Baranauskas G
    J Neurosci Methods; 2007 Jun; 163(1):176-80. PubMed ID: 17391772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spike sorting based upon machine learning algorithms (SOMA).
    Horton PM; Nicol AU; Kendrick KM; Feng JF
    J Neurosci Methods; 2007 Feb; 160(1):52-68. PubMed ID: 17052762
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computationally efficient simulation of extracellular recordings with multielectrode arrays.
    Thorbergsson PT; Garwicz M; Schouenborg J; Johansson AJ
    J Neurosci Methods; 2012 Oct; 211(1):133-44. PubMed ID: 22960053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accurate spike sorting for multi-unit recordings.
    Takekawa T; Isomura Y; Fukai T
    Eur J Neurosci; 2010 Jan; 31(2):263-72. PubMed ID: 20074217
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Quantifying the isolation quality of extracellularly recorded action potentials.
    Joshua M; Elias S; Levine O; Bergman H
    J Neurosci Methods; 2007 Jul; 163(2):267-82. PubMed ID: 17477972
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated spike sorting using density grid contour clustering and subtractive waveform decomposition.
    Vargas-Irwin C; Donoghue JP
    J Neurosci Methods; 2007 Aug; 164(1):1-18. PubMed ID: 17512603
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing neuronal coherence with single-unit, multi-unit, and local field potentials.
    Zeitler M; Fries P; Gielen S
    Neural Comput; 2006 Sep; 18(9):2256-81. PubMed ID: 16846392
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic spike detection based on adaptive template matching for extracellular neural recordings.
    Kim S; McNames J
    J Neurosci Methods; 2007 Sep; 165(2):165-74. PubMed ID: 17669507
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tracking neurons recorded from tetrodes across time.
    Emondi AA; Rebrik SP; Kurgansky AV; Miller KD
    J Neurosci Methods; 2004 May; 135(1-2):95-105. PubMed ID: 15020094
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. A nonparametric approach for detection of bursts in spike trains.
    Gourévitch B; Eggermont JJ
    J Neurosci Methods; 2007 Mar; 160(2):349-58. PubMed ID: 17070926
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detection of neuronal spikes using an adaptive threshold based on the max-min spread sorting method.
    Chan HL; Lin MA; Wu T; Lee ST; Tsai YT; Chao PK
    J Neurosci Methods; 2008 Jul; 172(1):112-21. PubMed ID: 18508127
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.