Models that contain the Modeling Application : Python (Home Page)

("Python is a dynamic object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Many Python programmers report substantial productivity gains and feel the language encourages the development of higher quality, more maintainable code. ...")
Re-display model names with descriptions
    Models
1. Earthworm medial giant fiber conduction velocity across electrical synapses (Heller, Crisp 2016)
2. 3D olfactory bulb: operators (Migliore et al, 2015)
3. 3D-printer visualization of NEURON models (McDougal and Shepherd, 2015)
4. A contracting model of the basal ganglia (Girard et al. 2008)
5. A detailed Purkinje cell model (Masoli et al 2015)
6. A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
7. A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
8. A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016)
9. A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
10. Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
11. Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
12. Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
13. Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
14. Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
15. Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
16. Allen Institute: Nr5a1-Cre VISp layer 4 329322394
17. Allen Institute: Nr5a1-Cre VISp layer 4 472306544
18. Allen Institute: Nr5a1-Cre VISp layer 4 472442377
19. Allen Institute: Nr5a1-Cre VISp layer 4 472451419
20. Allen Institute: Nr5a1-Cre VISp layer 4 472915634
21. Allen Institute: Nr5a1-Cre VISp layer 4 473834758
22. Allen Institute: Nr5a1-Cre VISp layer 4 473863035
23. Allen Institute: Nr5a1-Cre VISp layer 4 473871429
24. Allen Institute: Ntsr1-Cre VISp layer 4 472430904
25. Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
26. Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
27. Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114
28. Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
29. Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
30. Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
31. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
32. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
33. Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
34. Allen Institute: Rbp4-Cre VISp layer 5 472424854
35. Allen Institute: Rbp4-Cre VISp layer 6a 473871592
36. Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
37. Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
38. Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
39. Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
40. Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
41. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
42. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
43. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
44. Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
45. Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
46. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
47. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
48. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
49. Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
50. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
51. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
52. Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
53. Allen Institute: Sst-IRES-Cre VISp layer 2/3 471086533
54. Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
55. Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
56. Allen Institute: Sst-IRES-Cre VISp layer 5 472299363
57. Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
58. Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
59. Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
60. An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al., 2013)
61. AOB mitral cell: persistent activity without feedback (Zylbertal et al., 2015)
62. Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)
63. Boolean network-based analysis of the apoptosis network (Mai and Liu 2009)
64. Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017)
65. Brette-Gerstner model (Touboul and Brette 2008)
66. CA1 PV+ fast-firing hippocampal interneuron (Ferguson et al. 2013)
67. CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
68. CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
69. CA1 pyramidal neuron (Ferguson et al. 2014)
70. CA1 pyramidal neuron network model (Ferguson et al 2015)
71. CA1 SOM+ (OLM) hippocampal interneuron (Ferguson et al. 2015)
72. Ca2+ oscillations in single astrocytes (Lavrentovich and Hemkin 2008) (python) (Manninen et al 2017)
73. CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
74. CN bushy, stellate neurons (Rothman, Manis 2003) (Brian 2)
75. CN bushy, stellate neurons (Rothman, Manis 2003) (Brian)
76. Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007)
77. Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
78. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
79. Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
80. Computing with neural synchrony (Brette 2012)
81. Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015)
82. Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
83. Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013)
84. CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
85. Current Dipole in Laminar Neocortex (Lee et al. 2013)
86. Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
87. Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
88. Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
89. Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
90. Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015)
91. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
92. Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
93. Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
94. Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016)
95. Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
96. Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
97. Glutamate-evoked Ca2+ oscillations in single astrocytes (De Pitta et al. 2009) (Manninen et al 2017)
98. Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011)
99. Hierarchical network model of perceptual decision making (Wimmer et al 2015)
100. Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
101. Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
102. Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
103. Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017)
104. In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017)
105. Information transmission in cerebellar granule cell models (Rossert et al. 2014)
106. Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016)
107. Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)
108. Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
109. Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
110. Large-scale neural model of visual short-term memory (Ulloa, Horwitz 2016; Horwitz, et al. 2005,...)
111. MEC layer II stellate cell: Synaptic mechanisms of grid cells (Schmidt-Hieber & Hausser 2013)
112. Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
113. Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
114. Model of eupnea and sigh generation in respiratory network (Toporikova et al 2015)
115. Model of peristalsis in the dorsal blood vessel of Lumbriculus variegatus (Halfmann and Crisp 2011)
116. Model of Type 3 firing in neurons (Clay et al 2008)
117. Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016)
118. ModelView: online structural analysis of computational models (McDougal et al. 2015)
119. Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
120. Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
121. Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
122. Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
123. Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
124. Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
125. Muscle spindle feedback circuit (Moraud et al, 2016)
126. Na+ Signals in olfactory bulb neurons (granule cell model) (Ona-Jodar et al. 2017)
127. Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
128. Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
129. Neural Field Simulator (Nichols & Hutt 2012-2015)
130. Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
131. NEURON + Python (Hines et al. 2009)
132. Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
133. Optical stimulation of a channelrhodopsin-2 positive pyramidal neuron model (Foutz et al 2012)
134. Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
135. Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
136. Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015)
137. PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015)
138. Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009)
139. Resource competition in growing neurites (Hjorth et al 2014)
140. Reward modulated STDP (Legenstein et al. 2008)
141. Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016)
142. Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
143. Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
144. Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016)
145. Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010)
146. Spikelet generation and AP initiation in a L5 neocortical pyr neuron (Michalikova et al. 2016) Fig 1
147. Spikelet generation and AP initiation in a simplified pyr neuron (Michalikova et al. 2016) Fig 3
148. Spontaneous calcium oscillations in single astrocytes (Riera et al. 2011) (Manninen et al 2017)
149. Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
150. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
151. STDP and oscillations produce phase-locking (Muller et al. 2011)
152. Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)
153. Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
154. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
155. Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
156. Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017)
157. TRPM8-dependent dynamic response in cold thermoreceptors (Olivares et al. 2015)
158. Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014)
159. Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
160. Voltage-based STDP synapse (Clopath et al. 2010)

Re-display model names with descriptions