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Journal Abstract Search

188 related items for PubMed ID: 19956759

  • 1. Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation.
    Onken A, Grünewälder S, Munk MH, Obermayer K.
    PLoS Comput Biol; 2009 Nov; 5(11):e1000577. PubMed ID: 19956759
    [Abstract] [Full Text] [Related]

  • 2. The copula approach to characterizing dependence structure in neural populations.
    Jenison RL.
    Chin J Physiol; 2010 Dec 31; 53(6):373-81. PubMed ID: 21793349
    [Abstract] [Full Text] [Related]

  • 3. Generating spike trains with specified correlation coefficients.
    Macke JH, Berens P, Ecker AS, Tolias AS, Bethge M.
    Neural Comput; 2009 Feb 31; 21(2):397-423. PubMed ID: 19196233
    [Abstract] [Full Text] [Related]

  • 4. A semiparametric Bayesian model for detecting synchrony among multiple neurons.
    Shahbaba B, Zhou B, Lan S, Ombao H, Moorman D, Behseta S.
    Neural Comput; 2014 Sep 31; 26(9):2025-51. PubMed ID: 24922500
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  • 6. Detecting dependencies between spike trains of pairs of neurons through copulas.
    Sacerdote L, Tamborrino M, Zucca C.
    Brain Res; 2012 Jan 24; 1434():243-56. PubMed ID: 21981802
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  • 7. Copula regression analysis of simultaneously recorded frontal eye field and inferotemporal spiking activity during object-based working memory.
    Hu M, Clark KL, Gong X, Noudoost B, Li M, Moore T, Liang H.
    J Neurosci; 2015 Jun 10; 35(23):8745-57. PubMed ID: 26063909
    [Abstract] [Full Text] [Related]

  • 8. A copulas approach to neuronal networks models.
    Sacerdote L, Sirovich R.
    J Physiol Paris; 2010 Jun 10; 104(3-4):223-30. PubMed ID: 19941955
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  • 9. Joint analysis of spikes and local field potentials using copula.
    Hu M, Li M, Li W, Liang H.
    Neuroimage; 2016 Jun 10; 133():457-467. PubMed ID: 27012500
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  • 10. Discovering Low-Dimensional Descriptions of Multineuronal Dependencies.
    Mitskopoulos L, Onken A.
    Entropy (Basel); 2023 Jul 06; 25(7):. PubMed ID: 37509973
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  • 12. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.
    Augustin M, Ladenbauer J, Baumann F, Obermayer K.
    PLoS Comput Biol; 2017 Jun 06; 13(6):e1005545. PubMed ID: 28644841
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  • 14. Bayesian bivariate survival analysis using the power variance function copula.
    Romeo JS, Meyer R, Gallardo DI.
    Lifetime Data Anal; 2018 Apr 06; 24(2):355-383. PubMed ID: 28536818
    [Abstract] [Full Text] [Related]

  • 15. A pathway for multivariate analysis of ecological communities using copulas.
    Anderson MJ, de Valpine P, Punnett A, Miller AE.
    Ecol Evol; 2019 Mar 06; 9(6):3276-3294. PubMed ID: 30962892
    [Abstract] [Full Text] [Related]

  • 16. The shape of neural dependence.
    Jenison RL, Reale RA.
    Neural Comput; 2004 Apr 06; 16(4):665-72. PubMed ID: 15025825
    [Abstract] [Full Text] [Related]

  • 17. State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data.
    Shimazaki H, Amari S, Brown EN, Grün S.
    PLoS Comput Biol; 2012 Apr 06; 8(3):e1002385. PubMed ID: 22412358
    [Abstract] [Full Text] [Related]

  • 18. Behavioral performance modulates spike field coherence in monkey prefrontal cortex.
    Wu W, Wheeler DW, Staedtler ES, Munk MH, Pipa G.
    Neuroreport; 2008 Jan 22; 19(2):235-8. PubMed ID: 18185115
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  • 20. Trial-to-Trial Variability of Spiking Delay Activity in Prefrontal Cortex Constrains Burst-Coding Models of Working Memory.
    Li D, Constantinidis C, Murray JD.
    J Neurosci; 2021 Oct 27; 41(43):8928-8945. PubMed ID: 34551937
    [Abstract] [Full Text] [Related]

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