BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1403 related articles for article (PubMed ID: 17444757)

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

  • 2. Reinforcement learning with modulated spike timing dependent synaptic plasticity.
    Farries MA; Fairhall AL
    J Neurophysiol; 2007 Dec; 98(6):3648-65. PubMed ID: 17928565
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. An implementation of reinforcement learning based on spike timing dependent plasticity.
    Roberts PD; Santiago RA; Lafferriere G
    Biol Cybern; 2008 Dec; 99(6):517-23. PubMed ID: 18941775
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reinforcement learning, spike-time-dependent plasticity, and the BCM rule.
    Baras D; Meir R
    Neural Comput; 2007 Aug; 19(8):2245-79. PubMed ID: 17571943
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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
    [TBL] [Abstract][Full Text] [Related]  

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

  • 9. Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity.
    Bohte SM; Mozer MC
    Neural Comput; 2007 Feb; 19(2):371-403. PubMed ID: 17206869
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Oscillations and spiking pairs: behavior of a neuronal model with STDP learning.
    Shen X; Lin X; De Wilde P
    Neural Comput; 2008 Aug; 20(8):2037-69. PubMed ID: 18336082
    [TBL] [Abstract][Full Text] [Related]  

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

  • 13. 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; 18(5-6):458-66. PubMed ID: 16095878
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback.
    Legenstein R; Pecevski D; Maass W
    PLoS Comput Biol; 2008 Oct; 4(10):e1000180. PubMed ID: 18846203
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 71.