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 *

97 related articles for article (PubMed ID: 30763350)

  • 1. An O(n) method of calculating Kendall correlations of spike trains.
    Redman W
    PLoS One; 2019; 14(2):e0212190. PubMed ID: 30763350
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generating spike trains with specified correlation coefficients.
    Macke JH; Berens P; Ecker AS; Tolias AS; Bethge M
    Neural Comput; 2009 Feb; 21(2):397-423. PubMed ID: 19196233
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments.
    Victor JD; Goldberg DH; Gardner D
    J Neurosci Methods; 2007 Apr; 161(2):351-60. PubMed ID: 17174403
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Relation between single neuron and population spiking statistics and effects on network activity.
    Câteau H; Reyes AD
    Phys Rev Lett; 2006 Feb; 96(5):058101. PubMed ID: 16486995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Decoding neuronal spike trains: how important are correlations?
    Nirenberg S; Latham PE
    Proc Natl Acad Sci U S A; 2003 Jun; 100(12):7348-53. PubMed ID: 12775756
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Statistical significance of sequential firing patterns in multi-neuronal spike trains.
    Diekman CO; Sastry PS; Unnikrishnan KP
    J Neurosci Methods; 2009 Sep; 182(2):279-84. PubMed ID: 19559053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Superposition of many independent spike trains is generally not a Poisson process.
    Lindner B
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Feb; 73(2 Pt 1):022901. PubMed ID: 16605377
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Attractor reliability reveals deterministic structure in neuronal spike trains.
    Tiesinga PH; Fellous JM; Sejnowski TJ
    Neural Comput; 2002 Jul; 14(7):1629-50. PubMed ID: 12079549
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.
    Onken A; Liu JK; Karunasekara PP; Delis I; Gollisch T; Panzeri S
    PLoS Comput Biol; 2016 Nov; 12(11):e1005189. PubMed ID: 27814363
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unbiased estimation of precise temporal correlations between spike trains.
    Stark E; Abeles M
    J Neurosci Methods; 2009 Apr; 179(1):90-100. PubMed ID: 19167428
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applying the multivariate time-rescaling theorem to neural population models.
    Gerhard F; Haslinger R; Pipa G
    Neural Comput; 2011 Jun; 23(6):1452-83. PubMed ID: 21395436
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generation of correlated spike trains.
    Brette R
    Neural Comput; 2009 Jan; 21(1):188-215. PubMed ID: 19431282
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neural assemblies: technical issues, analysis, and modeling.
    Gerstein GL; Kirkland KL
    Neural Netw; 2001; 14(6-7):589-98. PubMed ID: 11665755
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimating summary statistics in the spike-train space.
    Wu W; Srivastava A
    J Comput Neurosci; 2013 Jun; 34(3):391-410. PubMed ID: 23053864
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process.
    Gutnisky DA; Josić K
    J Neurophysiol; 2010 May; 103(5):2912-30. PubMed ID: 20032244
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On-chip systolic networks for real-time tracking of pairwise correlations between neurons in a large-scale network.
    Yu B; Chan RH; Mak T; Sun Y; Poon CS
    IEEE Trans Biomed Eng; 2013 Jan; 60(1):198-202. PubMed ID: 22851232
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A study of dependency features of spike trains through copulas.
    Verzelli P; Sacerdote L
    Biosystems; 2019 Oct; 184():104014. PubMed ID: 31401080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Serial correlation in neural spike trains: experimental evidence, stochastic modeling, and single neuron variability.
    Farkhooi F; Strube-Bloss MF; Nawrot MP
    Phys Rev E Stat Nonlin Soft Matter Phys; 2009 Feb; 79(2 Pt 1):021905. PubMed ID: 19391776
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Generation of synthetic spike trains with defined pairwise correlations.
    Niebur E
    Neural Comput; 2007 Jul; 19(7):1720-38. PubMed ID: 17521277
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.