| | Models |
| 1. |
A phantom bursting mechanism for episodic bursting (Bertram et al 2008)
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| 2. |
A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
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| 3. |
Action potential initiation in the olfactory mitral cell (Shen et al 1999)
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| 4. |
Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017)
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| 5. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
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| 6. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
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| 7. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
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| 8. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
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| 9. |
Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
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| 10. |
Allen Institute: Nr5a1-Cre VISp layer 4 329322394
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| 11. |
Allen Institute: Nr5a1-Cre VISp layer 4 472306544
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| 12. |
Allen Institute: Nr5a1-Cre VISp layer 4 472442377
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| 13. |
Allen Institute: Nr5a1-Cre VISp layer 4 472451419
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| 14. |
Allen Institute: Nr5a1-Cre VISp layer 4 472915634
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| 15. |
Allen Institute: Nr5a1-Cre VISp layer 4 473834758
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| 16. |
Allen Institute: Nr5a1-Cre VISp layer 4 473863035
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| 17. |
Allen Institute: Nr5a1-Cre VISp layer 4 473871429
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| 18. |
Allen Institute: Ntsr1-Cre VISp layer 4 472430904
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| 19. |
Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
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| 20. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
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| 21. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114
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| 22. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
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| 23. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
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| 24. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
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| 25. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
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| 26. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
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| 27. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
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| 28. |
Allen Institute: Rbp4-Cre VISp layer 5 472424854
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| 29. |
Allen Institute: Rbp4-Cre VISp layer 6a 473871592
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| 30. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
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| 31. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
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| 32. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
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| 33. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
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| 34. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
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| 35. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
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| 36. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
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| 37. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
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| 38. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
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| 39. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
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| 40. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
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| 41. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
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| 42. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
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| 43. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
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| 44. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
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| 45. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
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| 46. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
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| 47. |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 471086533
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| 48. |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
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| 49. |
Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
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| 50. |
Allen Institute: Sst-IRES-Cre VISp layer 5 472299363
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| 51. |
Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
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| 52. |
Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
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| 53. |
Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
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| 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. |
Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
|
| 74. |
Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
|
| 75. |
I A in Kenyon cells resemble Shaker currents (Pelz et al 1999)
|
| 76. |
L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
|
| 77. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
|
| 78. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
|
| 79. |
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
|
| 80. |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
|
| 81. |
Multi-timescale adaptive threshold model (Kobayashi et al 2009)
|
| 82. |
Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
|
| 83. |
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
|
| 84. |
MyFirstNEURON (Houweling, Sejnowski 1997)
|
| 85. |
NEUROFIT: fitting HH models to voltage clamp data (Willms 2002)
|
| 86. |
Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
|
| 87. |
Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013)
|
| 88. |
Olfactory Mitral Cell (Bhalla, Bower 1993)
|
| 89. |
Olfactory Mitral Cell (Davison et al 2000)
|
| 90. |
Olfactory receptor neuron model (Dougherty et al 2005)
|
| 91. |
Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018)
|
| 92. |
Oversampling method to extract excitatory and inhibitory conductances (Bedard et al. 2012)
|
| 93. |
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
|
| 94. |
Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018)
|
| 95. |
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
|
| 96. |
Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
|
| 97. |
Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)
|
| 98. |
PyRhO: A multiscale optogenetics simulation platform (Evans et al 2016)
|
| 99. |
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
|
| 100. |
Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
|
| 101. |
Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)
|
| 102. |
Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009)
|
| 103. |
Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014)
|
| 104. |
Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008)
|
| 105. |
Sympathetic Preganglionic Neurone (Briant et al. 2014)
|
| 106. |
Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019)
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