Models that contain the Model Concept : Parameter Fitting

(Adjusting parameters that occur in equations that describe neuronal systems or subsystems through either manual or automated (optimization) methods.)
Re-display model names with descriptions
    Models
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.  Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
58.  Channel density variability among CA1 neurons (Migliore et al. 2018)
59.  Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
60.  Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
61.  Control of oscillations and spontaneous firing in dopamine neurons (Rumbell & Kozloski 2019)
62.  Correcting space clamp in dendrites (Schaefer et al. 2003 and 2007)
63.  Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
64.  Dentate gyrus granule cell: subthreshold signal processing (Schmidt-Hieber et al. 2007)
65.  Detailed passive cable model of Dentate Gyrus Basket Cells (Norenberg et al. 2010)
66.  Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009)
67.  Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
68.  Estimation of conductance in a conductance-based model of quadratic type (Vich & Guillamon 2015)
69.  Excitability of PFC Basal Dendrites (Acker and Antic 2009)
70.  FS Striatal interneuron: K currents solve signal-to-noise problems (Kotaleski et al 2006)
71.  Globus pallidus multi-compartmental model neuron with realistic morphology (Gunay et al. 2008)
72.  Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
73.  Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
74.  I A in Kenyon cells resemble Shaker currents (Pelz et al 1999)
75.  L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
76.  Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
77.  Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
78.  Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
79.  Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
80.  Multi-timescale adaptive threshold model (Kobayashi et al 2009)
81.  Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
82.  Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
83.  MyFirstNEURON (Houweling, Sejnowski 1997)
84.  NEUROFIT: fitting HH models to voltage clamp data (Willms 2002)
85.  Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
86.  Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013)
87.  Olfactory Mitral Cell (Bhalla, Bower 1993)
88.  Olfactory Mitral Cell (Davison et al 2000)
89.  Olfactory receptor neuron model (Dougherty et al 2005)
90.  Origin of heterogeneous spiking patterns in spinal dorsal horn neurons (Balachandar & Prescott 2018)
91.  Oversampling method to extract excitatory and inhibitory conductances (Bedard et al. 2012)
92.  Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
93.  Parameter optimization using CMA-ES (Jedrzejewski-Szmek et al 2018)
94.  Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
95.  Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
96.  Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)
97.  PyRhO: A multiscale optogenetics simulation platform (Evans et al 2016)
98.  Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
99.  Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
100.  Rhesus Monkey Young and Aged L3 PFC Pyramidal Neurons (Rumbell et al. 2016)
101.  Smoothing of, and parameter estimation from, noisy biophysical recordings (Huys & Paninski 2009)
102.  Software (called Optimizer) for fitting neuronal models (Friedrich et al. 2014)
103.  Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008)
104.  Sympathetic Preganglionic Neurone (Briant et al. 2014)
105.  Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019)

Re-display model names with descriptions