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 *

152 related articles for article (PubMed ID: 11046472)

  • 1. Unifying framework for neuronal assembly dynamics.
    Eggert J; van Hemmen JL
    Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics; 2000 Feb; 61(2):1855-74. PubMed ID: 11046472
    [TBL] [Abstract][Full Text] [Related]  

  • 2. From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness.
    Aviel Y; Gerstner W
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 May; 73(5 Pt 1):051908. PubMed ID: 16802968
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling neuronal assemblies: theory and implementation.
    Eggert J; van Hemmen JL
    Neural Comput; 2001 Sep; 13(9):1923-74. PubMed ID: 11516352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dynamics of moment neuronal networks.
    Feng J; Deng Y; Rossoni E
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Apr; 73(4 Pt 1):041906. PubMed ID: 16711835
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method.
    Chizhov AV; Graham LJ
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Jan; 77(1 Pt 1):011910. PubMed ID: 18351879
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Macroscopic equations governing noisy spiking neuronal populations with linear synapses.
    Galtier MN; Touboul J
    PLoS One; 2013; 8(11):e78917. PubMed ID: 24236067
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Josephson junction simulation of neurons.
    Crotty P; Schult D; Segall K
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Jul; 82(1 Pt 1):011914. PubMed ID: 20866655
    [TBL] [Abstract][Full Text] [Related]  

  • 8. How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?
    Grabska-Barwińska A; Latham PE
    J Comput Neurosci; 2014 Jun; 36(3):469-81. PubMed ID: 24091644
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 13(6):e1005545. PubMed ID: 28644841
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Approximate emergent synchrony in spatially coupled spiking neurons with discrete interaction.
    Supèr H; Romeo A
    Neural Comput; 2014 Nov; 26(11):2419-40. PubMed ID: 25149703
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Macroscopic self-oscillations and aging transition in a network of synaptically coupled quadratic integrate-and-fire neurons.
    Ratas I; Pyragas K
    Phys Rev E; 2016 Sep; 94(3-1):032215. PubMed ID: 27739712
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transition from Asynchronous to Oscillatory Dynamics in Balanced Spiking Networks with Instantaneous Synapses.
    di Volo M; Torcini A
    Phys Rev Lett; 2018 Sep; 121(12):128301. PubMed ID: 30296134
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Experimental study of firing death in a network of chaotic FitzHugh-Nagumo neurons.
    Ciszak M; Euzzor S; Arecchi FT; Meucci R
    Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Feb; 87(2):022919. PubMed ID: 23496603
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Supervised learning with decision margins in pools of spiking neurons.
    Le Mouel C; Harris KD; Yger P
    J Comput Neurosci; 2014 Oct; 37(2):333-44. PubMed ID: 24862859
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dynamical mean-field theory of noisy spiking neuron ensembles: application to the Hodgkin-Huxley model.
    Hasegawa H
    Phys Rev E Stat Nonlin Soft Matter Phys; 2003 Oct; 68(4 Pt 1):041909. PubMed ID: 14682975
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Renewal theory of coupled neuronal pools: stable states and slow trajectories.
    Leibold C
    Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Sep; 84(3 Pt 1):031935. PubMed ID: 22060431
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spontaneous dynamics of asymmetric random recurrent spiking neural networks.
    Soula H; Beslon G; Mazet O
    Neural Comput; 2006 Jan; 18(1):60-79. PubMed ID: 16354381
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges.
    Geisler C; Brunel N; Wang XJ
    J Neurophysiol; 2005 Dec; 94(6):4344-61. PubMed ID: 16093332
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks.
    Devalle F; Roxin A; Montbrió E
    PLoS Comput Biol; 2017 Dec; 13(12):e1005881. PubMed ID: 29287081
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.