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 *

141 related articles for article (PubMed ID: 25852533)

  • 1. RM-SORN: a reward-modulated self-organizing recurrent neural network.
    Aswolinskiy W; Pipa G
    Front Comput Neurosci; 2015; 9():36. PubMed ID: 25852533
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle.
    Bing Z; Baumann I; Jiang Z; Huang K; Cai C; Knoll A
    Front Neurorobot; 2019; 13():18. PubMed ID: 31130854
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.
    Sanda P; Skorheim S; Bazhenov M
    PLoS Comput Biol; 2017 Sep; 13(9):e1005705. PubMed ID: 28961245
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Incorporating structural plasticity into self-organization recurrent networks for sequence learning.
    Yuan Y; Zhu Y; Wang J; Li R; Xu X; Fang T; Huo H; Wan L; Li Q; Liu N; Yang S
    Front Neurosci; 2023; 17():1224752. PubMed ID: 37592946
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.
    Wang Q; Rothkopf CA; Triesch J
    PLoS Comput Biol; 2017 Aug; 13(8):e1005632. PubMed ID: 28767646
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule.
    Hao Y; Huang X; Dong M; Xu B
    Neural Netw; 2020 Jan; 121():387-395. PubMed ID: 31593843
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.
    Hartmann C; Lazar A; Nessler B; Triesch J
    PLoS Comput Biol; 2015 Dec; 11(12):e1004640. PubMed ID: 26714277
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Emergence of task-dependent representations in working memory circuits.
    Savin C; Triesch J
    Front Comput Neurosci; 2014; 8():57. PubMed ID: 24904395
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics.
    Burms J; Caluwaerts K; Dambre J
    Front Neurorobot; 2015; 9():9. PubMed ID: 26347645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SORN: a self-organizing recurrent neural network.
    Lazar A; Pipa G; Triesch J
    Front Comput Neurosci; 2009; 3():23. PubMed ID: 19893759
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks.
    Panda P; Roy K
    Front Neurosci; 2017; 11():693. PubMed ID: 29311774
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optical spike-timing-dependent plasticity with weight-dependent learning window and reward modulation.
    Ren Q; Zhang Y; Wang R; Zhao J
    Opt Express; 2015 Sep; 23(19):25247-58. PubMed ID: 26406722
    [TBL] [Abstract][Full Text] [Related]  

  • 15. First-Spike-Based Visual Categorization Using Reward-Modulated STDP.
    Mozafari M; Kheradpisheh SR; Masquelier T; Nowzari-Dalini A; Ganjtabesh M
    IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6178-6190. PubMed ID: 29993898
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning.
    Hartmann C; Miner DC; Triesch J
    Front Neural Circuits; 2015; 9():90. PubMed ID: 26793070
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network.
    Del Papa B; Priesemann V; Triesch J
    PLoS One; 2017; 12(5):e0178683. PubMed ID: 28552964
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Neuromodulated Synaptic Plasticity on the SpiNNaker Neuromorphic System.
    Mikaitis M; Pineda GarcĂ­a G; Knight JC; Furber SB
    Front Neurosci; 2018; 12():105. PubMed ID: 29535600
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning.
    Hoerzer GM; Legenstein R; Maass W
    Cereb Cortex; 2014 Mar; 24(3):677-90. PubMed ID: 23146969
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.