BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 21395434)

  • 1. Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function.
    De Meyer K; Spratling MW
    Neural Comput; 2011 Jun; 23(6):1536-67. PubMed ID: 21395434
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function.
    Spratling MW
    Neural Comput; 2012 Jan; 24(1):60-103. PubMed ID: 22023197
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rapid processing and unsupervised learning in a model of the cortical macrocolumn.
    Lücke J; von der Malsburg C
    Neural Comput; 2004 Mar; 16(3):501-33. PubMed ID: 15006090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning to attend: modeling the shaping of selectivity in infero-temporal cortex in a categorization task.
    Szabo M; Deco G; Fusi S; Del Giudice P; Mattia M; Stetter M
    Biol Cybern; 2006 May; 94(5):351-65. PubMed ID: 16555071
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spikes, synchrony, and attentive learning by laminar thalamocortical circuits.
    Grossberg S; Versace M
    Brain Res; 2008 Jul; 1218():278-312. PubMed ID: 18533136
    [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. A learning rule for place fields in a cortical model: theta phase precession as a network effect.
    Scarpetta S; Marinaro M
    Hippocampus; 2005; 15(7):979-89. PubMed ID: 16161059
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Self-organizing neural systems based on predictive learning.
    Rao RP; Sejnowski TJ
    Philos Trans A Math Phys Eng Sci; 2003 Jun; 361(1807):1149-75. PubMed ID: 12816605
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sensory experience and cortical rewiring.
    Barnes SJ; Finnerty GT
    Neuroscientist; 2010 Apr; 16(2):186-98. PubMed ID: 19801372
    [TBL] [Abstract][Full Text] [Related]  

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

  • 11. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses.
    Senn W; Fusi S
    Neural Comput; 2005 Oct; 17(10):2106-38. PubMed ID: 16105220
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Supervised learning through neuronal response modulation.
    Swinehart CD; Abbott LF
    Neural Comput; 2005 Mar; 17(3):609-31. PubMed ID: 15802008
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An unsupervised learning model of neural plasticity: Orientation selectivity in goggle-reared kittens.
    Hsu AS; Dayan P
    Vision Res; 2007 Oct; 47(22):2868-77. PubMed ID: 17850840
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Symbol manipulation and rule learning in spiking neuronal networks.
    Fernando C
    J Theor Biol; 2011 Apr; 275(1):29-41. PubMed ID: 21237176
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neural field theory of plasticity in the cerebral cortex.
    Fung PK; Haber AL; Robinson PA
    J Theor Biol; 2013 Feb; 318():44-57. PubMed ID: 23036915
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule.
    Marinaro M; Scarpetta S; Yoshioka M
    Math Biosci; 2007 Jun; 207(2):322-35. PubMed ID: 17306840
    [TBL] [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
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Synaptic plasticity: taming the beast.
    Abbott LF; Nelson SB
    Nat Neurosci; 2000 Nov; 3 Suppl():1178-83. PubMed ID: 11127835
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hebbian errors in learning: an analysis using the Oja model.
    Rădulescu A; Cox K; Adams P
    J Theor Biol; 2009 Jun; 258(4):489-501. PubMed ID: 19248792
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tuning curve shift by attention modulation in cortical neurons: a computational study of its mechanisms.
    Compte A; Wang XJ
    Cereb Cortex; 2006 Jun; 16(6):761-78. PubMed ID: 16135783
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.