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 *

91 related articles for article (PubMed ID: 24812717)

  • 1. Separating burst from background spikes in multichannel neuronal recordings using return map analysis.
    Martens MB; Chiappalone M; Schubert D; Tiesinga PH
    Int J Neural Syst; 2014 Jun; 24(4):1450012. PubMed ID: 24812717
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use of adaptive network burst detection methods for multielectrode array data and the generation of artificial spike patterns for method evaluation.
    Mendis GD; Morrisroe E; Petrou S; Halgamuge SK
    J Neural Eng; 2016 Apr; 13(2):026009. PubMed ID: 26861133
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SIMONE: a realistic neural network simulator to reproduce MEA-based recordings.
    Escolá R; Pouzat C; Chaffiol A; Yvert B; Magnin IE; Guillemaud R
    IEEE Trans Neural Syst Rehabil Eng; 2008 Apr; 16(2):149-60. PubMed ID: 18403283
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Challenges and opportunities in processing muscle sympathetic nerve activity with wavelet denoising techniques: detecting single action potentials in multiunit sympathetic nerve recordings in humans.
    Zhang Q; Liu Y; Brown L; Shoemaker JK
    Auton Neurosci; 2007 Jul; 134(1-2):92-105. PubMed ID: 17412648
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The string method of burst identification in neuronal spike trains.
    Turnbull L; Dian E; Gross G
    J Neurosci Methods; 2005 Jun; 145(1-2):23-35. PubMed ID: 15922023
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Complex evolution of spike patterns during burst propagation through feed-forward networks.
    Teramae JN; Fukai T
    Biol Cybern; 2008 Aug; 99(2):105-14. PubMed ID: 18685860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noise-induced precursors of tonic-to-bursting transitions in hypothalamic neurons and in a conductance-based model.
    Braun HA; Schwabedal J; Dewald M; Finke C; Postnova S; Huber MT; Wollweber B; Schneider H; Hirsch MC; Voigt K; Feudel U; Moss F
    Chaos; 2011 Dec; 21(4):047509. PubMed ID: 22225383
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A stationary wavelet transform and a time-frequency based spike detection algorithm for extracellular recorded data.
    Lieb F; Stark HG; Thielemann C
    J Neural Eng; 2017 Jun; 14(3):036013. PubMed ID: 28272020
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating nonstationary input signals from a single neuronal spike train.
    Kim H; Shinomoto S
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Nov; 86(5 Pt 1):051903. PubMed ID: 23214810
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cooperative behavior in a jump diffusion model for a simple network of spiking neurons.
    Sirovich R; Sacerdote L; Villa AE
    Math Biosci Eng; 2014 Apr; 11(2):385-401. PubMed ID: 24245723
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical long-term correlations in dissociated cortical neuron recordings.
    Esposti F; Signorini MG; Potter SM; Cerutti S
    IEEE Trans Neural Syst Rehabil Eng; 2009 Aug; 17(4):364-9. PubMed ID: 19482584
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Self-organization and neuronal avalanches in networks of dissociated cortical neurons.
    Pasquale V; Massobrio P; Bologna LL; Chiappalone M; Martinoia S
    Neuroscience; 2008 Jun; 153(4):1354-69. PubMed ID: 18448256
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Contribution of individual spikes in burst-induced long-term synaptic modification.
    Froemke RC; Tsay IA; Raad M; Long JD; Dan Y
    J Neurophysiol; 2006 Mar; 95(3):1620-9. PubMed ID: 16319206
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Joint analysis of extracellular spike waveforms and neuronal network bursts.
    Kapucu FE; Mäkinen ME; Tanskanen JMA; Ylä-Outinen L; Narkilahti S; Hyttinen JAK
    J Neurosci Methods; 2016 Feb; 259():143-155. PubMed ID: 26675487
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal.
    Picchini U; Ditlevsen S; De Gaetano A; Lansky P
    Neural Comput; 2008 Nov; 20(11):2696-714. PubMed ID: 18533814
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Real-time tracking of neuronal network structure using data assimilation.
    Hamilton F; Berry T; Peixoto N; Sauer T
    Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Nov; 88(5):052715. PubMed ID: 24329304
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Methods for characterizing interspike intervals and identifying bursts in neuronal activity.
    Selinger JV; Kulagina NV; O'Shaughnessy TJ; Ma W; Pancrazio JJ
    J Neurosci Methods; 2007 May; 162(1-2):64-71. PubMed ID: 17258322
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Determining Burst Firing Time Distributions from Multiple Spike Trains.
    Lago-Fernández LF; Szücs A; Varona P
    Neural Comput; 2009 Apr; 21(4):973-90. PubMed ID: 19199390
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A copulas approach to neuronal networks models.
    Sacerdote L; Sirovich R
    J Physiol Paris; 2010; 104(3-4):223-30. PubMed ID: 19941955
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Neuronal firing before and after burst discharges in the monkey basal ganglia is predictably patterned in the normal state and altered in parkinsonism.
    Wichmann T; Soares J
    J Neurophysiol; 2006 Apr; 95(4):2120-33. PubMed ID: 16371459
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.