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 *

153 related articles for article (PubMed ID: 20608869)

  • 1. On a stochastic leaky integrate-and-fire neuronal model.
    Buonocore A; Caputo L; Pirozzi E; Ricciardi LM
    Neural Comput; 2010 Oct; 22(10):2558-85. PubMed ID: 20608869
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model.
    Buonocore A; Caputo L; Pirozzi E; Carfora MF
    Math Biosci Eng; 2014 Feb; 11(1):1-10. PubMed ID: 24245674
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the evaluation of firing densities for periodically driven neuron models.
    Buonocore A; Caputo L; Pirozzi E
    Math Biosci; 2008; 214(1-2):122-33. PubMed ID: 18374954
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimum signal in a diffusion leaky integrate-and-fire neuronal model.
    Lansky P; Sacerdote L; Zucca C
    Math Biosci; 2007 Jun; 207(2):261-74. PubMed ID: 17070558
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Different types of noise in leaky integrate-and-fire model of neuronal dynamics with discrete periodical input.
    Di Maio V; Lánský P; Rodriguez R
    Gen Physiol Biophys; 2004 Mar; 23(1):21-38. PubMed ID: 15270127
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Shot noise in the leaky integrate-and-fire neuron.
    Hohn N; Burkitt AN
    Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Mar; 63(3 Pt 1):031902. PubMed ID: 11308673
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model.
    Lansky P; Sanda P; He J
    J Physiol Paris; 2010; 104(3-4):160-6. PubMed ID: 19944155
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations.
    Moreno-Bote R; Parga N
    Neural Comput; 2010 Jun; 22(6):1528-72. PubMed ID: 20100073
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Synaptic transmission in a diffusion model for neural activity.
    Lánská V; Lánský P; Smith CE
    J Theor Biol; 1994 Feb; 166(4):393-406. PubMed ID: 8176948
    [TBL] [Abstract][Full Text] [Related]  

  • 11. How sample paths of leaky integrate-and-fire models are influenced by the presence of a firing threshold.
    Giraudo MT; Greenwood PE; Sacerdote L
    Neural Comput; 2011 Jul; 23(7):1743-67. PubMed ID: 21492009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Event-driven simulations of nonlinear integrate-and-fire neurons.
    Tonnelier A; Belmabrouk H; Martinez D
    Neural Comput; 2007 Dec; 19(12):3226-38. PubMed ID: 17970651
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diffusion approximation of neuronal models revisited.
    Cupera J
    Math Biosci Eng; 2014 Feb; 11(1):11-25. PubMed ID: 24245676
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival.
    Jolivet R; Gerstner W
    J Physiol Paris; 2004; 98(4-6):442-51. PubMed ID: 16274972
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model.
    Ditlevsen S; Lansky P
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Jan; 71(1 Pt 1):011907. PubMed ID: 15697630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Minimal models of adapted neuronal response to in vivo-like input currents.
    La Camera G; Rauch A; Lüscher HR; Senn W; Fusi S
    Neural Comput; 2004 Oct; 16(10):2101-24. PubMed ID: 15333209
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On the return process with refractoriness for a non-homogeneous Ornstein-Uhlenbeck neuronal model.
    Giorno V; Spina S
    Math Biosci Eng; 2014 Apr; 11(2):285-302. PubMed ID: 24245718
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons.
    Buonocore A; Caputo L; Pirozzi E; Carfora MF
    Math Biosci Eng; 2014 Apr; 11(2):189-201. PubMed ID: 24245714
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.