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 *

207 related articles for article (PubMed ID: 10798498)

  • 1. A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning.
    Nykamp DQ; Tranchina D
    J Comput Neurosci; 2000; 8(1):19-50. PubMed ID: 10798498
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses.
    Nykamp DQ; Tranchina D
    Neural Comput; 2001 Mar; 13(3):511-46. PubMed ID: 11244554
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods.
    Apfaltrer F; Ly C; Tranchina D
    Network; 2006 Dec; 17(4):373-418. PubMed ID: 17162461
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex.
    Anderson JS; Carandini M; Ferster D
    J Neurophysiol; 2000 Aug; 84(2):909-26. PubMed ID: 10938316
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dependence of visual cell properties on intracortical synapses among hypercolumns: analysis by a computer model.
    Ursino M; La Cara GE
    J Comput Neurosci; 2005 Dec; 19(3):291-310. PubMed ID: 16284912
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics.
    Ly C
    Neural Comput; 2013 Oct; 25(10):2682-708. PubMed ID: 23777517
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of mechanisms for contrast-invariance of orientation selectivity in simple cells.
    Fortier PA
    Neuroscience; 2017 Apr; 348():41-62. PubMed ID: 28189612
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational modeling of orientation tuning dynamics in monkey primary visual cortex.
    Pugh MC; Ringach DL; Shapley R; Shelley MJ
    J Comput Neurosci; 2000; 8(2):143-59. PubMed ID: 10798599
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A population approach to cortical dynamics with an application to orientation tuning.
    Omurtag A; Kaplan E; Knight B; Sirovich L
    Network; 2000 Nov; 11(4):247-60. PubMed ID: 11128166
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size.
    Haskell E; Nykamp DQ; Tranchina D
    Network; 2001 May; 12(2):141-74. PubMed ID: 11405420
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Neural mechanisms of orientation selectivity in the visual cortex.
    Ferster D; Miller KD
    Annu Rev Neurosci; 2000; 23():441-71. PubMed ID: 10845071
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An emergent model of orientation selectivity in cat visual cortical simple cells.
    Somers DC; Nelson SB; Sur M
    J Neurosci; 1995 Aug; 15(8):5448-65. PubMed ID: 7643194
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Contrast invariance of orientation tuning in cat primary visual cortex neurons depends on stimulus size.
    Liu YJ; Hashemi-Nezhad M; Lyon DC
    J Physiol; 2015 Oct; 593(19):4485-98. PubMed ID: 26227285
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Origin of orientation-selective EPSPs in simple cells of cat visual cortex.
    Ferster D
    J Neurosci; 1987 Jun; 7(6):1780-91. PubMed ID: 3598648
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Invariant computations in local cortical networks with balanced excitation and inhibition.
    Mariño J; Schummers J; Lyon DC; Schwabe L; Beck O; Wiesing P; Obermayer K; Sur M
    Nat Neurosci; 2005 Feb; 8(2):194-201. PubMed ID: 15665876
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity.
    Wörgötter F; Koch C
    J Neurosci; 1991 Jul; 11(7):1959-79. PubMed ID: 2066770
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Length and width tuning of neurons in the cat's primary visual cortex.
    DeAngelis GC; Freeman RD; Ohzawa I
    J Neurophysiol; 1994 Jan; 71(1):347-74. PubMed ID: 8158236
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamics of orientation tuning in macaque primary visual cortex.
    Ringach DL; Hawken MJ; Shapley R
    Nature; 1997 May; 387(6630):281-4. PubMed ID: 9153392
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.