BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1875 related articles for article (PubMed ID: 23340243)

  • 1. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
    Kasabov N; Dhoble K; Nuntalid N; Indiveri G
    Neural Netw; 2013 May; 41():188-201. PubMed ID: 23340243
    [TBL] [Abstract][Full Text] [Related]  

  • 2. NeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data.
    Kasabov NK
    Neural Netw; 2014 Apr; 52():62-76. PubMed ID: 24508754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. STDP-based spiking deep convolutional neural networks for object recognition.
    Kheradpisheh SR; Ganjtabesh M; Thorpe SJ; Masquelier T
    Neural Netw; 2018 Mar; 99():56-67. PubMed ID: 29328958
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

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

  • 8. 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]  

  • 9. Synaptic dynamics: linear model and adaptation algorithm.
    Yousefi A; Dibazar AA; Berger TW
    Neural Netw; 2014 Aug; 56():49-68. PubMed ID: 24867390
    [TBL] [Abstract][Full Text] [Related]  

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

  • 11. 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]  

  • 12. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule.
    Beyeler M; Dutt ND; Krichmar JL
    Neural Netw; 2013 Dec; 48():109-24. PubMed ID: 23994510
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. What can neuromorphic event-driven precise timing add to spike-based pattern recognition?
    Akolkar H; Meyer C; Clady Z; Marre O; Bartolozzi C; Panzeri S; Benosman R
    Neural Comput; 2015 Mar; 27(3):561-93. PubMed ID: 25602775
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
    Kasabov N; Scott NM; Tu E; Marks S; Sengupta N; Capecci E; Othman M; Doborjeh MG; Murli N; Hartono R; Espinosa-Ramos JI; Zhou L; Alvi FB; Wang G; Taylor D; Feigin V; Gulyaev S; Mahmoud M; Hou ZG; Yang J
    Neural Netw; 2016 Jun; 78():1-14. PubMed ID: 26576468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synchrony detection and amplification by silicon neurons with STDP synapses.
    Bofill-i-petit A; Murray AF
    IEEE Trans Neural Netw; 2004 Sep; 15(5):1296-304. PubMed ID: 15484902
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism.
    Wu Q; McGinnity TM; Maguire L; Belatreche A; Glackin B
    Neural Netw; 2008 Nov; 21(9):1318-27. PubMed ID: 18706787
    [TBL] [Abstract][Full Text] [Related]  

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

  • 20. 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
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 94.