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 *

127 related articles for article (PubMed ID: 19431262)

  • 1. A gradient learning rule for the tempotron.
    Urbanczik R; Senn W
    Neural Comput; 2009 Feb; 21(2):340-52. PubMed ID: 19431262
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spike-timing error backpropagation in theta neuron networks.
    McKennoch S; Voegtlin T; Bushnell L
    Neural Comput; 2009 Jan; 21(1):9-45. PubMed ID: 19431278
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The tempotron: a neuron that learns spike timing-based decisions.
    Gütig R; Sompolinsky H
    Nat Neurosci; 2006 Mar; 9(3):420-8. PubMed ID: 16474393
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting.
    Ponulak F; Kasiński A
    Neural Comput; 2010 Feb; 22(2):467-510. PubMed ID: 19842989
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Symbol manipulation and rule learning in spiking neuronal networks.
    Fernando C
    J Theor Biol; 2011 Apr; 275(1):29-41. PubMed ID: 21237176
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Recognition by variance: learning rules for spatiotemporal patterns.
    Barak O; Tsodyks M
    Neural Comput; 2006 Oct; 18(10):2343-58. PubMed ID: 16907629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Digital spiking neuron and its learning for approximation of various spike-trains.
    Torikai H; Funew A; Saito T
    Neural Netw; 2008; 21(2-3):140-9. PubMed ID: 18272333
    [TBL] [Abstract][Full Text] [Related]  

  • 10. What can a neuron learn with spike-timing-dependent plasticity?
    Legenstein R; Naeger C; Maass W
    Neural Comput; 2005 Nov; 17(11):2337-82. PubMed ID: 16156932
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule.
    Marinaro M; Scarpetta S; Yoshioka M
    Math Biosci; 2007 Jun; 207(2):322-35. PubMed ID: 17306840
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spike timing-dependent plasticity is affected by the interplay of intrinsic and network oscillations.
    Baroni F; Varona P
    J Physiol Paris; 2010; 104(1-2):91-8. PubMed ID: 19913095
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning.
    Pfister JP; Toyoizumi T; Barber D; Gerstner W
    Neural Comput; 2006 Jun; 18(6):1318-48. PubMed ID: 16764506
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks.
    Xu Y; Zeng X; Han L; Yang J
    Neural Netw; 2013 Jul; 43():99-113. PubMed ID: 23500504
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A learning rule for the emergence of stable dynamics and timing in recurrent networks.
    Buonomano DV
    J Neurophysiol; 2005 Oct; 94(4):2275-83. PubMed ID: 16160088
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning precisely timed spikes.
    Memmesheimer RM; Rubin R; Olveczky BP; Sompolinsky H
    Neuron; 2014 May; 82(4):925-38. PubMed ID: 24768299
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning spike-based population codes by reward and population feedback.
    Friedrich J; Urbanczik R; Senn W
    Neural Comput; 2010 Jul; 22(7):1698-717. PubMed ID: 20235820
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Span: spike pattern association neuron for learning spatio-temporal spike patterns.
    Mohemmed A; Schliebs S; Matsuda S; Kasabov N
    Int J Neural Syst; 2012 Aug; 22(4):1250012. PubMed ID: 22830962
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: structuring synaptic pathways among recurrent connections.
    Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
    Biol Cybern; 2009 Dec; 101(5-6):427-44. PubMed ID: 19937070
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.