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 *

218 related articles for article (PubMed ID: 19471957)

  • 1. Complementary responses to mean and variance modulations in the perfect integrate-and-fire model.
    Pressley J; Troyer TW
    Biol Cybern; 2009 Jul; 101(1):63-70. PubMed ID: 19471957
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. The dynamics of integrate-and-fire: mean versus variance modulations and dependence on baseline parameters.
    Pressley J; Troyer TW
    Neural Comput; 2011 May; 23(5):1234-47. PubMed ID: 21299422
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.
    Burkitt AN
    Biol Cybern; 2006 Aug; 95(2):97-112. PubMed ID: 16821035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dynamics of the firing probability of noisy integrate-and-fire neurons.
    Fourcaud N; Brunel N
    Neural Comput; 2002 Sep; 14(9):2057-110. PubMed ID: 12184844
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Reliability of spike timing is a general property of spiking model neurons.
    Brette R; Guigon E
    Neural Comput; 2003 Feb; 15(2):279-308. PubMed ID: 12590808
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
    Burkitt AN
    Biol Cybern; 2006 Jul; 95(1):1-19. PubMed ID: 16622699
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Higher-order statistics of input ensembles and the response of simple model neurons.
    Kuhn A; Aertsen A; Rotter S
    Neural Comput; 2003 Jan; 15(1):67-101. PubMed ID: 12590820
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Linear versus nonlinear signal transmission in neuron models with adaptation currents or dynamic thresholds.
    Benda J; Maler L; Longtin A
    J Neurophysiol; 2010 Nov; 104(5):2806-20. PubMed ID: 21045213
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Firing rate of the noisy quadratic integrate-and-fire neuron.
    Brunel N; Latham PE
    Neural Comput; 2003 Oct; 15(10):2281-306. PubMed ID: 14511522
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods.
    Apfaltrer F; Ly C; Tranchina D
    Network; 2006 Dec; 17(4):373-418. PubMed ID: 17162461
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV?
    Vilela RD; Lindner B
    J Theor Biol; 2009 Mar; 257(1):90-9. PubMed ID: 19063904
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents.
    Rauch A; La Camera G; Luscher HR; Senn W; Fusi S
    J Neurophysiol; 2003 Sep; 90(3):1598-612. PubMed ID: 12750422
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy.
    Jolivet R; Lewis TJ; Gerstner W
    J Neurophysiol; 2004 Aug; 92(2):959-76. PubMed ID: 15277599
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input.
    Burkitt AN; Meffin H; Grayden DB
    Biol Cybern; 2003 Aug; 89(2):119-25. PubMed ID: 12905040
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correlation between uncoupled conductance-based integrate-and-fire neurons due to common and synchronous presynaptic firing.
    Stroeve S; Gielen S
    Neural Comput; 2001 Sep; 13(9):2005-29. PubMed ID: 11516355
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution.
    Toyoizumi T; Pfister JP; Aihara K; Gerstner W
    Neural Comput; 2007 Mar; 19(3):639-71. PubMed ID: 17298228
    [TBL] [Abstract][Full Text] [Related]  

  • 18. From subthreshold to firing-rate resonance.
    Richardson MJ; Brunel N; Hakim V
    J Neurophysiol; 2003 May; 89(5):2538-54. PubMed ID: 12611957
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Stimulus-dependent correlations in threshold-crossing spiking neurons.
    Burak Y; Lewallen S; Sompolinsky H
    Neural Comput; 2009 Aug; 21(8):2269-308. PubMed ID: 19409055
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Frequency-dependent response properties of adapting spiking neurons.
    Gigante G; Del Giudice P; Mattia M
    Math Biosci; 2007 Jun; 207(2):336-51. PubMed ID: 17367823
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.