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Journal Abstract Search

838 related items for PubMed ID: 20438333

  • 1. Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network.
    Bush D, Philippides A, Husbands P, O'Shea M.
    Neural Comput; 2010 Aug; 22(8):2059-85. PubMed ID: 20438333
    [Abstract] [Full Text] [Related]

  • 2. Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity.
    Florian RV.
    Neural Comput; 2007 Jun; 19(6):1468-502. PubMed ID: 17444757
    [Abstract] [Full Text] [Related]

  • 3. Reinforcement learning with modulated spike timing dependent synaptic plasticity.
    Farries MA, Fairhall AL.
    J Neurophysiol; 2007 Dec; 98(6):3648-65. PubMed ID: 17928565
    [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. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.
    Song S, Miller KD, Abbott LF.
    Nat Neurosci; 2000 Sep; 3(9):919-26. PubMed ID: 10966623
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. A forecast-based STDP rule suitable for neuromorphic implementation.
    Davies S, Galluppi F, Rast AD, Furber SB.
    Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
    [Abstract] [Full Text] [Related]

  • 8. 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
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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]

  • 11. Spike-timing dependent synaptic plasticity: a phenomenological framework.
    Kistler WM.
    Biol Cybern; 2002 Dec; 87(5-6):416-27. PubMed ID: 12461631
    [Abstract] [Full Text] [Related]

  • 12. Neurons tune to the earliest spikes through STDP.
    Guyonneau R, VanRullen R, Thorpe SJ.
    Neural Comput; 2005 Apr; 17(4):859-79. PubMed ID: 15829092
    [Abstract] [Full Text] [Related]

  • 13. Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approach.
    Zhu L, Lai YC, Hoppensteadt FC, He J.
    Chaos; 2006 Jun; 16(2):023105. PubMed ID: 16822008
    [Abstract] [Full Text] [Related]

  • 14.
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  • 15. Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point.
    Burkitt AN, Meffin H, Grayden DB.
    Neural Comput; 2004 May; 16(5):885-940. PubMed ID: 15070504
    [Abstract] [Full Text] [Related]

  • 16. Computational consequences of experimentally derived spike-time and weight dependent plasticity rules.
    Standage D, Jalil S, Trappenberg T.
    Biol Cybern; 2007 Jun; 96(6):615-23. PubMed ID: 17468882
    [Abstract] [Full Text] [Related]

  • 17. A model of STDP based on spatially and temporally local information: derivation and combination with gated decay.
    Gorchetchnikov A, Versace M, Hasselmo ME.
    Neural Netw; 2005 Jun; 18(5-6):458-66. PubMed ID: 16095878
    [Abstract] [Full Text] [Related]

  • 18. Beyond spike timing: the role of nonlinear plasticity and unreliable synapses.
    Senn W.
    Biol Cybern; 2002 Dec; 87(5-6):344-55. PubMed ID: 12461625
    [Abstract] [Full Text] [Related]

  • 19. Adaptive synchronization of activities in a recurrent network.
    Voegtlin T.
    Neural Comput; 2009 Jun; 21(6):1749-75. PubMed ID: 19191597
    [Abstract] [Full Text] [Related]

  • 20. A computational framework for cortical learning.
    Suri RE.
    Biol Cybern; 2004 Jun; 90(6):400-9. PubMed ID: 15316786
    [Abstract] [Full Text] [Related]

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