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 *

197 related articles for article (PubMed ID: 30062392)

  • 1. How well do reduced models capture the dynamics in models of interacting neurons?
    Li Y; Chariker L; Young LS
    J Math Biol; 2019 Jan; 78(1-2):83-115. PubMed ID: 30062392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A complex-valued firing-rate model that approximates the dynamics of spiking networks.
    Schaffer ES; Ostojic S; Abbott LF
    PLoS Comput Biol; 2013 Oct; 9(10):e1003301. PubMed ID: 24204236
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Synchronization of an excitatory integrate-and-fire neural network.
    Dumont G; Henry J
    Bull Math Biol; 2013 Apr; 75(4):629-48. PubMed ID: 23435645
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A stochastic model for interacting neurons in the olfactory bulb.
    Ascione G; Carfora MF; Pirozzi E
    Biosystems; 2019 Nov; 185():104030. PubMed ID: 31563745
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A discrete time neural network model with spiking neurons: II: dynamics with noise.
    Cessac B
    J Math Biol; 2011 Jun; 62(6):863-900. PubMed ID: 20658138
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A discrete model of neural ensembles.
    Rodríguez Fde B; Suárez A; López V
    Philos Trans A Math Phys Eng Sci; 2002 Mar; 360(1792):559-73. PubMed ID: 16214695
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Avalanches in a stochastic model of spiking neurons.
    Benayoun M; Cowan JD; van Drongelen W; Wallace E
    PLoS Comput Biol; 2010 Jul; 6(7):e1000846. PubMed ID: 20628615
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cortical network modeling: analytical methods for firing rates and some properties of networks of LIF neurons.
    Tuckwell HC
    J Physiol Paris; 2006; 100(1-3):88-99. PubMed ID: 17064883
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive coupling optimized spiking coherence and synchronization in Newman-Watts neuronal networks.
    Gong Y; Xu B; Wu Y
    Chaos; 2013 Sep; 23(3):033105. PubMed ID: 24089941
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Stochastic dynamics of a finite-size spiking neural network.
    Soula H; Chow CC
    Neural Comput; 2007 Dec; 19(12):3262-92. PubMed ID: 17970653
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stochastic neural field model: multiple firing events and correlations.
    Li Y; Xu H
    J Math Biol; 2019 Sep; 79(4):1169-1204. PubMed ID: 31292682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Global exponential stability of neutral high-order stochastic Hopfield neural networks with Markovian jump parameters and mixed time delays.
    Huang H; Du Q; Kang X
    ISA Trans; 2013 Nov; 52(6):759-67. PubMed ID: 23953509
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Non-Markovian approach to globally coupled excitable systems.
    Prager T; Falcke M; Schimansky-Geier L; Zaks MA
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Jul; 76(1 Pt 1):011118. PubMed ID: 17677421
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of spatially correlated noise on neuronal firing.
    Wang S; Liu F; Wang W; Yu Y
    Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Jan; 69(1 Pt 1):011909. PubMed ID: 14995649
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A stochastic-field description of finite-size spiking neural networks.
    Dumont G; Payeur A; Longtin A
    PLoS Comput Biol; 2017 Aug; 13(8):e1005691. PubMed ID: 28787447
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synchronization in networks with random interactions: theory and applications.
    Feng J; Jirsa VK; Ding M
    Chaos; 2006 Mar; 16(1):015109. PubMed ID: 16599775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Linked Gauss-Diffusion processes for modeling a finite-size neuronal network.
    Carfora MF; Pirozzi E
    Biosystems; 2017 Nov; 161():15-23. PubMed ID: 28780051
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.
    Buesing L; Bill J; Nessler B; Maass W
    PLoS Comput Biol; 2011 Nov; 7(11):e1002211. PubMed ID: 22096452
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.