Model Concept: Parameter Fitting

The model parameters were obtained using automated parameter searches.

  1. A phantom bursting mechanism for episodic bursting (Bertram et al 2008)
  2. A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
  3. Action potential initiation in the olfactory mitral cell (Shen et al 1999)
  4. Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017)
  5. Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
  6. Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
  7. Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
  8. Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
  9. Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
  10. Allen Institute: Nr5a1-Cre VISp layer 4 329322394
  11. Allen Institute: Nr5a1-Cre VISp layer 4 472306544
  12. Allen Institute: Nr5a1-Cre VISp layer 4 472442377
  13. Allen Institute: Nr5a1-Cre VISp layer 4 472451419
  14. Allen Institute: Nr5a1-Cre VISp layer 4 472915634
  15. Allen Institute: Nr5a1-Cre VISp layer 4 473834758
  16. Allen Institute: Nr5a1-Cre VISp layer 4 473863035
  17. Allen Institute: Nr5a1-Cre VISp layer 4 473871429
  18. Allen Institute: Ntsr1-Cre VISp layer 4 472430904
  19. Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
  20. Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
  21. Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114
  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 471086533
  48. Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
  49. Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
  50. Allen Institute: Sst-IRES-Cre VISp layer 5 472299363
  51. Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
  52. Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
  53. Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
  54. AOB mitral cell: persistent activity without feedback (Zylbertal et al., 2015)
  55. AP shape and parameter constraints in optimization of compartment models (Weaver and Wearne 2006)
  56. Artificial neuron model (Izhikevich 2003, 2004, 2007)
  57. Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020)
  58. Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
  59. Channel density variability among CA1 neurons (Migliore et al. 2018)
  60. Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
  61. Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
  62. Control of oscillations and spontaneous firing in dopamine neurons (Rumbell & Kozloski 2019)
  63. Correcting space clamp in dendrites (Schaefer et al. 2003 and 2007)
  64. Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
  65. Dentate gyrus granule cell: subthreshold signal processing (Schmidt-Hieber et al. 2007)
  66. Detailed passive cable model of Dentate Gyrus Basket Cells (Norenberg et al. 2010)
  67. Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009)
  68. Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
  69. Estimation of conductance in a conductance-based model of quadratic type (Vich & Guillamon 2015)
  70. Excitability of PFC Basal Dendrites (Acker and Antic 2009)
  71. FS Striatal interneuron: K currents solve signal-to-noise problems (Kotaleski et al 2006)
  72. Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008)
  73. HH model of SCN neurons including a transient K+ channel (Bano-Otalora et al 2021)
  74. Hippocampal CA3 thorny and a-thorny principal neuron models (Linaro et al in review)
  75. Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
  76. Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
  77. I A in Kenyon cells resemble Shaker currents (Pelz et al 1999)
  78. L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
  79. Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
  80. Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
  81. Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
  82. Model of generalized periodic discharges in acute hepatic encephalopathy (Song et al 2019)
  83. Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
  84. Multi-timescale adaptive threshold model (Kobayashi et al 2009)
  85. Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
  86. Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
  87. MyFirstNEURON (Houweling, Sejnowski 1997)
  88. NEUROFIT: fitting HH models to voltage clamp data (Willms 2002)
  89. Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
  90. Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013)
  91. Olfactory Mitral Cell (Bhalla, Bower 1993)
  92. Olfactory Mitral Cell (Davison et al 2000)
  93. Olfactory receptor neuron model (Dougherty et al 2005)
  94. Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018)
  95. Oversampling method to extract excitatory and inhibitory conductances (Bedard et al. 2012)
  96. Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
  97. Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018)
  98. Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
  99. Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
  100. Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)
  101. PyRhO: A multiscale optogenetics simulation platform (Evans et al 2016)
  102. Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
  103. Reduced-morphology model of CA1 pyramidal cells optimized + validated w/ HippoUnit (Tomko et al '21)
  104. Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
  105. Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)
  106. Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009)
  107. Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014)
  108. Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008)
  109. Sympathetic Preganglionic Neurone (Briant et al. 2014)
  110. Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019)
Top authors for Parameter Fitting:
Top concepts studied with Parameter Fitting:
Top neurons studied with Parameter Fitting:
Top currents studied with Parameter Fitting:
Top references cited by these models:
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