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420 related items for PubMed ID: 16818394

  • 1. Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex.
    Lerchner A, Sterner G, Hertz J, Ahmadi M.
    Network; 2006 Jun; 17(2):131-50. PubMed ID: 16818394
    [Abstract] [Full Text] [Related]

  • 2. Effects of inhibitory gain and conductance fluctuations in a simple model for contrast-invariant orientation tuning in cat V1.
    Palmer SE, Miller KD.
    J Neurophysiol; 2007 Jul; 98(1):63-78. PubMed ID: 17507506
    [Abstract] [Full Text] [Related]

  • 3. Response variability in balanced cortical networks.
    Lerchner A, Ursta C, Hertz J, Ahmadi M, Ruffiot P, Enemark S.
    Neural Comput; 2006 Mar; 18(3):634-59. PubMed ID: 16483411
    [Abstract] [Full Text] [Related]

  • 4. Orientation tuning properties of simple cells in area V1 derived from an approximate analysis of nonlinear neural field models.
    Wennekers T.
    Neural Comput; 2001 Aug; 13(8):1721-47. PubMed ID: 11506668
    [Abstract] [Full Text] [Related]

  • 5. How are complex cell properties adapted to the statistics of natural stimuli?
    Körding KP, Kayser C, Einhäuser W, König P.
    J Neurophysiol; 2004 Jan; 91(1):206-12. PubMed ID: 12904330
    [Abstract] [Full Text] [Related]

  • 6. Imprecise correlated activity in self-organizing maps of spiking neurons.
    Veredas FJ, Mesa H, Martínez LA.
    Neural Netw; 2008 Aug; 21(6):810-6. PubMed ID: 18662853
    [Abstract] [Full Text] [Related]

  • 7. Orientation tuning of surround suppression in lateral geniculate nucleus and primary visual cortex of cat.
    Naito T, Sadakane O, Okamoto M, Sato H.
    Neuroscience; 2007 Nov 23; 149(4):962-75. PubMed ID: 17945429
    [Abstract] [Full Text] [Related]

  • 8. Contour integration and segmentation with self-organized lateral connections.
    Choe Y, Miikkulainen R.
    Biol Cybern; 2004 Feb 23; 90(2):75-88. PubMed ID: 14999474
    [Abstract] [Full Text] [Related]

  • 9. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
    Renart A, Moreno-Bote R, Wang XJ, Parga N.
    Neural Comput; 2007 Jan 23; 19(1):1-46. PubMed ID: 17134316
    [Abstract] [Full Text] [Related]

  • 10. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations.
    Seriès P, Latham PE, Pouget A.
    Nat Neurosci; 2004 Oct 23; 7(10):1129-35. PubMed ID: 15452579
    [Abstract] [Full Text] [Related]

  • 11. Surround suppression sharpens orientation tuning in the cat primary visual cortex.
    Okamoto M, Naito T, Sadakane O, Osaki H, Sato H.
    Eur J Neurosci; 2009 Mar 23; 29(5):1035-46. PubMed ID: 19291228
    [Abstract] [Full Text] [Related]

  • 12. Comparison of different models of orientation selectivity based on distinct intracortical inhibition rules.
    Ursino M, La Cara GE.
    Vision Res; 2004 Mar 23; 44(14):1641-58. PubMed ID: 15136001
    [Abstract] [Full Text] [Related]

  • 13. The contribution of vertical and horizontal connections to the receptive field center and surround in V1.
    Chisum HJ, Fitzpatrick D.
    Neural Netw; 2004 Mar 23; 17(5-6):681-93. PubMed ID: 15288892
    [Abstract] [Full Text] [Related]

  • 14. Relationship between contrast adaptation and orientation tuning in V1 and V2 of cat visual cortex.
    Crowder NA, Price NS, Hietanen MA, Dreher B, Clifford CW, Ibbotson MR.
    J Neurophysiol; 2006 Jan 23; 95(1):271-83. PubMed ID: 16192327
    [Abstract] [Full Text] [Related]

  • 15. Replicating receptive fields of simple and complex cells in primary visual cortex in a neuronal network model with temporal and population sparseness and reliability.
    Tanaka T, Aoyagi T, Kaneko T.
    Neural Comput; 2012 Oct 23; 24(10):2700-25. PubMed ID: 22845820
    [Abstract] [Full Text] [Related]

  • 16. Orientation selectivity of thalamic input to simple cells of cat visual cortex.
    Ferster D, Chung S, Wheat H.
    Nature; 1996 Mar 21; 380(6571):249-52. PubMed ID: 8637573
    [Abstract] [Full Text] [Related]

  • 17. Attentional recruitment of inter-areal recurrent networks for selective gain control.
    Hahnloser RH, Douglas RJ, Hepp K.
    Neural Comput; 2002 Jul 21; 14(7):1669-89. PubMed ID: 12079551
    [Abstract] [Full Text] [Related]

  • 18. A simple cell model with dominating opponent inhibition for robust image processing.
    Hansen T, Neumann H.
    Neural Netw; 2004 Jul 21; 17(5-6):647-62. PubMed ID: 15288890
    [Abstract] [Full Text] [Related]

  • 19. The dynamics of visual responses in the primary visual cortex.
    Shapley R, Hawken M, Xing D.
    Prog Brain Res; 2007 Jul 21; 165():21-32. PubMed ID: 17925238
    [Abstract] [Full Text] [Related]

  • 20. Coding with noisy neurons: stability of tuning curve estimation strongly depends on the analysis method.
    Etzold A, Schwegler H, Eurich CW.
    J Neurosci Methods; 2004 Apr 30; 134(2):109-19. PubMed ID: 15003377
    [Abstract] [Full Text] [Related]

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