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427 related items for PubMed ID: 21374994

  • 1. [Mathematical model of bursting spike train and its spectrum features].
    Zhang D, Ding H, Ye D.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Dec; 27(6):1353-9. PubMed ID: 21374994
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.
    Jackson BS.
    Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210
    [Abstract] [Full Text] [Related]

  • 4. Local shuffling of spike trains boosts the accuracy of spike train spectral analysis.
    Rivlin-Etzion M, Ritov Y, Heimer G, Bergman H, Bar-Gad I.
    J Neurophysiol; 2006 May; 95(5):3245-56. PubMed ID: 16407432
    [Abstract] [Full Text] [Related]

  • 5. A simple model of long-term spike train regularization.
    Brandman R, Nelson ME.
    Neural Comput; 2002 Jul; 14(7):1575-97. PubMed ID: 12079547
    [Abstract] [Full Text] [Related]

  • 6. Multiscale analysis of neural spike trains.
    Ramezan R, Marriott P, Chenouri S.
    Stat Med; 2014 Jan 30; 33(2):238-56. PubMed ID: 23996238
    [Abstract] [Full Text] [Related]

  • 7. On a spike train probability model with interacting neural units.
    Di Crescenzo A, Longobardi M, Martinucci B.
    Math Biosci Eng; 2014 Apr 30; 11(2):217-31. PubMed ID: 24245724
    [Abstract] [Full Text] [Related]

  • 8. A simple indicator of nonstationarity of firing rate in spike trains.
    Gourévitch B, Eggermont JJ.
    J Neurosci Methods; 2007 Jun 15; 163(1):181-7. PubMed ID: 17418899
    [Abstract] [Full Text] [Related]

  • 9. Neuronal model with distributed delay: analysis and simulation study for gamma distribution memory kernel.
    Karmeshu, Gupta V, Kadambari KV.
    Biol Cybern; 2011 Jun 15; 104(6):369-83. PubMed ID: 21701877
    [Abstract] [Full Text] [Related]

  • 10. A joint interspike interval difference stochastic spike train analysis: detecting local trends in the temporal firing patterns of single neurons.
    Fitzurka MA, Tam DC.
    Biol Cybern; 1999 May 15; 80(5):309-26. PubMed ID: 10365424
    [Abstract] [Full Text] [Related]

  • 11. Power spectrum analysis of bursting cells in area MT in the behaving monkey.
    Bair W, Koch C, Newsome W, Britten K.
    J Neurosci; 1994 May 15; 14(5 Pt 1):2870-92. PubMed ID: 8182445
    [Abstract] [Full Text] [Related]

  • 12. A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains.
    Sidhu RS, Johnson EC, Jones DL, Ratnam R.
    Biol Cybern; 2022 Dec 15; 116(5-6):611-633. PubMed ID: 36244004
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity.
    Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN.
    J Neurosci Methods; 2001 Jan 30; 105(1):25-37. PubMed ID: 11166363
    [Abstract] [Full Text] [Related]

  • 15. A nonparametric approach for detection of bursts in spike trains.
    Gourévitch B, Eggermont JJ.
    J Neurosci Methods; 2007 Mar 15; 160(2):349-58. PubMed ID: 17070926
    [Abstract] [Full Text] [Related]

  • 16. Interspike interval distributions of spiking neurons driven by fluctuating inputs.
    Ostojic S.
    J Neurophysiol; 2011 Jul 15; 106(1):361-73. PubMed ID: 21525364
    [Abstract] [Full Text] [Related]

  • 17. Decoding neural spike trains: calculating the probability that a spike train and an external signal are related.
    Sanger TD.
    J Neurophysiol; 2002 Mar 15; 87(3):1659-63. PubMed ID: 11877538
    [Abstract] [Full Text] [Related]

  • 18. Computation of spiking activity for a stochastic spatial neuron model: effects of spatial distribution of input on bimodality and CV of the ISI distribution.
    Tuckwell HC.
    Math Biosci; 2007 Jun 15; 207(2):246-60. PubMed ID: 17337282
    [Abstract] [Full Text] [Related]

  • 19. Analysis of neural spike trains with interspike interval reconstruction.
    Suzuki H, Aihara K, Murakami J, Shimozawa T.
    Biol Cybern; 2000 Apr 15; 82(4):305-11. PubMed ID: 10804062
    [Abstract] [Full Text] [Related]

  • 20. Weber's law implies neural discharge more regular than a Poisson process.
    Kang J, Wu J, Smerieri A, Feng J.
    Eur J Neurosci; 2010 Mar 15; 31(6):1006-18. PubMed ID: 20377615
    [Abstract] [Full Text] [Related]

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