Model Concept: Vision

Vision is the sense of detecting photons in the nervous system. Photons activate photoreceptor cells that typically send electrical signals to the nervous system.

  1. A Computational Model for the Binocular Vector Disparity Estimation (Chessa & Solari 2018)
  2. A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
  3. A Fast Rhythmic Bursting Cell: in vivo cell modeling (Lee 2007)
  4. A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
  5. A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
  6. Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
  7. Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
  8. Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
  9. Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
  10. Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
  11. Allen Institute: Nr5a1-Cre VISp layer 4 329322394
  12. Allen Institute: Nr5a1-Cre VISp layer 4 472306544
  13. Allen Institute: Nr5a1-Cre VISp layer 4 472442377
  14. Allen Institute: Nr5a1-Cre VISp layer 4 472451419
  15. Allen Institute: Nr5a1-Cre VISp layer 4 472915634
  16. Allen Institute: Nr5a1-Cre VISp layer 4 473834758
  17. Allen Institute: Nr5a1-Cre VISp layer 4 473863035
  18. Allen Institute: Nr5a1-Cre VISp layer 4 473871429
  19. Allen Institute: Ntsr1-Cre VISp layer 4 472430904
  20. Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
  21. Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
  22. Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
  23. Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
  24. Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
  25. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
  26. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
  27. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
  28. Allen Institute: Rbp4-Cre VISp layer 5 472424854
  29. Allen Institute: Rbp4-Cre VISp layer 6a 473871592
  30. Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
  31. Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
  32. Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
  33. Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
  34. Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
  35. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
  36. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
  37. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
  38. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
  39. Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
  40. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
  41. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
  42. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
  43. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
  44. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
  45. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
  46. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
  47. Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
  48. Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
  49. Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
  50. Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
  51. Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
  52. Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
  53. Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
  54. COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
  55. Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
  56. Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo (Smith et al 2013)
  57. Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
  58. Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
  59. Event-related simulation of neural processing in complex visual scenes (Mihalas et al. 2011)
  60. Feature integration drives probabilistic behavior in Fly escape response (von Reyn et al 2017)
  61. First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
  62. Fitting predictive coding to the neurophysiological data (Spratling 2019)
  63. Fly lobular plate VS cell (Borst and Haag 1996, et al. 1997, et al. 1999)
  64. Formation of synfire chains (Jun and Jin 2007)
  65. Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
  66. Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
  67. Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
  68. L2/3 V1 Pyramidal Cell model (modified Park et al., 2019; a/n: 231185) (Petousakis et al., 2023)
  69. LGMD - ON excitation to dendritic field C
  70. LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
  71. LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)
  72. LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
  73. Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
  74. Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
  75. Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
  76. Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016)
  77. Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
  78. Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
  79. Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
  80. NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
  81. Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
  82. Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
  83. Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
  84. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
  85. Reverse-time correlation analysis for idealized orientation tuning dynamics (Kovacic et al. 2008)
  86. Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)
  87. Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
  88. Signal integration in LGN cells (Briska et al 2003)
  89. Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
  90. Spike frequency adaptation in the LGMD (Peron and Gabbiani 2009)
  91. Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
  92. Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
  93. Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
  94. Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
  95. Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003)
  96. Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
  97. V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)
  98. Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)
Top authors for Vision:
Top concepts studied with Vision:
Top neurons studied with Vision:
Top currents studied with Vision:
Top references cited by these models:
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