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 *

252 related articles for article (PubMed ID: 31593569)

  • 21. Delay-Induced Multistability and Loop Formation in Neuronal Networks with Spike-Timing-Dependent Plasticity.
    Madadi Asl M; Valizadeh A; Tass PA
    Sci Rep; 2018 Aug; 8(1):12068. PubMed ID: 30104713
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Distributed synchrony in a cell assembly of spiking neurons.
    Levy N; Horn D; Meilijson I; Ruppin E
    Neural Netw; 2001; 14(6-7):815-24. PubMed ID: 11665773
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Representation of input structure in synaptic weights by spike-timing-dependent plasticity.
    Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Aug; 82(2 Pt 1):021912. PubMed ID: 20866842
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hopf bifurcation in the evolution of networks driven by spike-timing-dependent plasticity.
    Ren Q; Kolwankar KM; Samal A; Jost J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Nov; 86(5 Pt 2):056103. PubMed ID: 23214839
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticity.
    Elliott T
    Neural Comput; 2010 Jan; 22(1):244-72. PubMed ID: 19764870
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate.
    Graupner M; Wallisch P; Ostojic S
    J Neurosci; 2016 Nov; 36(44):11238-11258. PubMed ID: 27807166
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Coding properties of spiking neurons: reverse and cross-correlations.
    Gerstner W
    Neural Netw; 2001; 14(6-7):599-610. PubMed ID: 11665756
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Correlation entropy of synaptic input-output dynamics.
    Kleppe IC; Robinson HP
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041909. PubMed ID: 17155098
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Bistability and spatiotemporal irregularity in neuronal networks with nonlinear synaptic transmission.
    Mongillo G; Hansel D; van Vreeswijk C
    Phys Rev Lett; 2012 Apr; 108(15):158101. PubMed ID: 22587287
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Plasticity, learning, and complexity in spiking networks.
    Kello CT; Rodny J; Warlaumont AS; Noelle DC
    Crit Rev Biomed Eng; 2012; 40(6):501-18. PubMed ID: 23356694
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Learning by message passing in networks of discrete synapses.
    Braunstein A; Zecchina R
    Phys Rev Lett; 2006 Jan; 96(3):030201. PubMed ID: 16486667
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bayesian spiking neurons II: learning.
    Deneve S
    Neural Comput; 2008 Jan; 20(1):118-45. PubMed ID: 18045003
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite.
    Aspart F; Ladenbauer J; Obermayer K
    PLoS Comput Biol; 2016 Nov; 12(11):e1005206. PubMed ID: 27893786
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics.
    Cessac B
    J Math Biol; 2008 Mar; 56(3):311-45. PubMed ID: 17874106
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Spatiotemporal learning in analog neural networks using spike-timing-dependent synaptic plasticity.
    Yoshioka M; Scarpetta S; Marinaro M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 May; 75(5 Pt 1):051917. PubMed ID: 17677108
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Effect on information transfer of synaptic pruning driven by spike-timing-dependent plasticity.
    Ren Q; Zhang Z; Zhao J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Feb; 85(2 Pt 1):022901. PubMed ID: 22463266
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity--strengthening correlated input pathways.
    Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
    Biol Cybern; 2009 Aug; 101(2):81-102. PubMed ID: 19536560
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Introduction to spiking neural networks: Information processing, learning and applications.
    Ponulak F; Kasinski A
    Acta Neurobiol Exp (Wars); 2011; 71(4):409-33. PubMed ID: 22237491
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.