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185 related items for PubMed ID: 19944154

  • 1. Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes.
    Iglesias J, Villa AE.
    J Physiol Paris; 2010; 104(3-4):137-46. PubMed ID: 19944154
    [Abstract] [Full Text] [Related]

  • 2. Emergence of preferred firing sequences in large spiking neural networks during simulated neuronal development.
    Iglesias J, Villa AE.
    Int J Neural Syst; 2008 Aug; 18(4):267-77. PubMed ID: 18763727
    [Abstract] [Full Text] [Related]

  • 3. Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks.
    Iglesias J, Villa AE.
    Biosystems; 2007 Aug; 89(1-3):287-93. PubMed ID: 17324499
    [Abstract] [Full Text] [Related]

  • 4. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking.
    Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL.
    Biol Cybern; 2009 Aug; 101(2):103-14. PubMed ID: 19536559
    [Abstract] [Full Text] [Related]

  • 5. Spike-timing dynamics of neuronal groups.
    Izhikevich EM, Gally JA, Edelman GM.
    Cereb Cortex; 2004 Aug; 14(8):933-44. PubMed ID: 15142958
    [Abstract] [Full Text] [Related]

  • 6. STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns.
    Hosaka R, Araki O, Ikeguchi T.
    Neural Comput; 2008 Feb; 20(2):415-35. PubMed ID: 18045011
    [Abstract] [Full Text] [Related]

  • 7. Deterministic neural dynamics transmitted through neural networks.
    Asai Y, Guha A, Villa AE.
    Neural Netw; 2008 Aug; 21(6):799-809. PubMed ID: 18675536
    [Abstract] [Full Text] [Related]

  • 8. Dual information representation with stable firing rates and chaotic spatiotemporal spike patterns in a neural network model.
    Araki O, Aihara K.
    Neural Comput; 2001 Dec; 13(12):2799-822. PubMed ID: 11705411
    [Abstract] [Full Text] [Related]

  • 9. 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
    [Abstract] [Full Text] [Related]

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  • 12. Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity.
    Zou Q, Bornat Y, Saïghi S, Tomas J, Renaud S, Destexhe A.
    Network; 2006 Sep; 17(3):211-33. PubMed ID: 17162612
    [Abstract] [Full Text] [Related]

  • 13. 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
    [Abstract] [Full Text] [Related]

  • 14. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
    Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL.
    Biol Cybern; 2010 Nov; 103(5):365-86. PubMed ID: 20882297
    [Abstract] [Full Text] [Related]

  • 15. Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics.
    Ros E, Carrillo R, Ortigosa EM, Barbour B, Agís R.
    Neural Comput; 2006 Dec; 18(12):2959-93. PubMed ID: 17052155
    [Abstract] [Full Text] [Related]

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

  • 17. Spike-timing-dependent plasticity leads to gamma band responses in a neural network.
    Fründ I, Ohl FW, Herrmann CS.
    Biol Cybern; 2009 Sep; 101(3):227-40. PubMed ID: 19789891
    [Abstract] [Full Text] [Related]

  • 18. Impact of deviation from precise balance of spike-timing-dependent plasticity.
    Matsumoto N, Okada M.
    Neural Netw; 2004 Sep; 17(7):917-24. PubMed ID: 15312835
    [Abstract] [Full Text] [Related]

  • 19. Spiking neural networks for cortical neuronal spike train decoding.
    Fang H, Wang Y, He J.
    Neural Comput; 2010 Apr; 22(4):1060-85. PubMed ID: 19922291
    [Abstract] [Full Text] [Related]

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

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