| Models |
1. |
A computational model of a small DRG neuron to explore pain (Verma et al. 2019, 2020)
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2. |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
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3. |
A mathematical model of evoked calcium dynamics in astrocytes (Handy et al 2017)
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4. |
A model for early afterdepolarizations in the cardiomyocyte action potential (Kimrey et al., 2022)
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5. |
A model for pituitary GH(3) lactotroph (Wu and Chang 2005)
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6. |
A model for recurrent spreading depolarizations (Conte et al. 2017)
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7. |
A simplified model of NMDA oscillations in lamprey locomotor neurons (Huss et al. 2008)
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8. |
A theory of ongoing activity in V1 (Goldberg et al 2004)
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9. |
Action potential of adult rat ventricle (Wang et al. 2008)
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10. |
Action potential of striated muscle fiber (Adrian et al 1970)
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11. |
Actions of Rotenone on ionic currents and MEPPs in Mouse Hippocampal Neurons (Huang et al 2018)
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12. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
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13. |
Allosteric gating of K channels (Horrigan et al 1999)
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14. |
An ion-based model for swelling of neurons and astrocytes (Hubel & Ullah 2016)
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15. |
Anoxic depolarization, recovery: effect of brain regions and extracellular space (Hubel et al. 2016)
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16. |
Basal ganglia-corticothalamic (BGCT) network (Chen et al., 2014)
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17. |
Biophysical models of AWCon and RMD C. elegans neurons (M. Nicoletti at al. 2019)
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18. |
Ca(2+) oscillations based on Ca-induced Ca-release (Dupont et al 1991)
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19. |
Ca-dependent K Channel: kinetics from rat muscle (Moczydlowski, Latorre 1983) XPP
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20. |
CA1 pyramidal cell: I_NaP and I_M contributions to somatic bursting (Golomb et al 2006)
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21. |
CA3 pyramidal cell: rhythmogenesis in a reduced Traub model (Pinsky, Rinzel 1994)
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22. |
CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007)
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23. |
Cardiac action potential based on Luo-Rudy phase 1 model (Luo and Rudy 1991), (Wu 2004)
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24. |
Circadian clock model based on protein sequestration (simple version) (Kim & Forger 2012)
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25. |
Circadian clock model in mammals (detailed version) (Kim & Forger 2012)
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26. |
ClC-2 channels regulate neuronal excitability, not intracellular Cl- levels (Ratte & Prescott 2011)
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27. |
Consequences of HERG mutations in the long QT syndrome (Clancy, Rudy 2001)
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28. |
Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009)
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29. |
Control of vibrissa motoneuron firing (Harish and Golomb 2010)
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30. |
Criticality,degeneracy in injury-induced changes in primary afferent excitability (Ratte et al 2014)
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31. |
Deterministic chaos in a mathematical model of a snail neuron (Komendantov and Kononenko 1996)
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32. |
Dopaminergic cell bursting model (Kuznetsov et al 2006)
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33. |
Dorsal root ganglion (primary somatosensory) neurons (Rho & Prescott 2012)
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34. |
Double boundary value problem (A. Bose and J.E. Rubin, 2015)
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35. |
Drosophila 3rd instar larval aCC motoneuron (Gunay et al. 2015)
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36. |
Dynamics of ramping bursts in a respiratory pre-Botzinger Complex model (Abdulla et al, accepted)
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37. |
Dynamics of Spike Initiation (Prescott et al. 2008)
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38. |
Effect of riluzole on action potential in cultured human skeletal muscle cells (Wang YJ et al. 2008)
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39. |
Effect of slowly inactivating IKdr to delayed firing of action potentials (Wu et al. 2008)
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40. |
Effect of trp-like current on APs during exposure to sinusoidal voltage (Chen et al. 2010)
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41. |
Effects of eugenol on the firing of action potentials in NG108-15 neurons (Huang et al. 2011)
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42. |
Efffect of propofol on potassium current in cardiac H9c2 cells (Liu et al. 2008)
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43. |
Exact mean-field models for Izhikevich networks (Chen and Campbell 2022)
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44. |
Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)
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45. |
Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972)
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46. |
Explaining pathological changes in axonal excitability by dynamical analysis (Coggan et al. 2011)
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47. |
External Tufted Cell Model (Ryan Viertel, Alla Borisyuk 2019)
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48. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
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49. |
Fast-spiking cortical interneuron (Golomb et al. 2007)
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50. |
Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016)
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51. |
HERG K+ channels spike-frequency adaptation (Chiesa et al 1997)
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52. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
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53. |
Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
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54. |
Hodgkin-Huxley simplifed 2D and 3D models (Lundstrom et al. 2009)
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55. |
Hodgkin-Huxley with dynamic ion concentrations (Hubel and Dahlem, 2014)
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56. |
How adaptation makes low firing rates robust (Sherman & Ha 2017)
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57. |
Human sleep/wake cycle (Rempe et al. 2010)
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58. |
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
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59. |
Inhibitory control of motoneuron excitability (Venugopal et al 2011)
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60. |
Initiation of spreading depolarization by GABAergic neuron hyperactivity & NaV 1.1 (Chever et al 21)
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61. |
Integrated Oscillator Model for pancreatic islet beta-cells (Marinelli et al., 2022)
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62. |
Interactions among kinase cascades underlying LTP in Aplysia sensory neurons (Zhang et al 2021)
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63. |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
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64. |
Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011)
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65. |
Kv4.3, Kv1.4 encoded K(+) channel in heart cells (Greenstein et al 2000) (XPP)
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66. |
Locational influence of dendritic PIC on input-output properties of spinal motoneurons (Kim 2017)
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67. |
Markovian model for cardiac sodium channel (Clancy, Rudy 2002)
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68. |
Markovian model for SCN8A-encoded channel (Kuo et al 2020)
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69. |
Markovian model for single-channel recordings of Ik_1 in ventricular cells (Matsuoka et al 2003)
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70. |
Mauthner cell with two pre-synaptic cells, an inhibitory and an excitatory cell (Orr et al 2021)
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71. |
Model for pancreatic beta-cells (Law et al. 2020)
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72. |
Model for pancreatic beta-cells with two isoforms of PFK (Marinelli et al., 2022)
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73. |
Model for pusatile insulin secretion at basal levels of glucose (Fletcher et al, 2022)
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74. |
Model of a BDNF feedback loop (Zhang et al 2016)
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75. |
Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
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76. |
Modeling interactions in Aplysia neuron R15 (Yu et al 2004)
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77. |
Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
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78. |
Motoneuron model of self-sustained firing after spinal cord injury (Kurian et al. 2011)
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79. |
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
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80. |
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
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81. |
Neuroprotective Role of Gap Junctions in a Neuron Astrocyte Network Model (Huguet et al 2016)
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82. |
Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
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83. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
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84. |
Persistent Spiking in ACC Neurons (Ratte et al 2018)
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85. |
PreBotzinger Complex inspiratory neuron with NaP and CAN currents (Park and Rubin 2013)
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86. |
Prediction for the presence of voltage-gated Ca2+ channels in myelinated central axons (Brown 2003)
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87. |
Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)
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88. |
Pyramidal neurons switch from integrators to resonators (Prescott et al. 2008)
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89. |
Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013)
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90. |
Rescue of plasticity by a computationally predicted protocol (Liu et al. 2013)
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91. |
Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)
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92. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
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93. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
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94. |
Respiratory control model with brainstem CPG and sensory feedback (Diekman, Thomas, and Wilson 2017)
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95. |
Role of active dendrites in rhythmically-firing neurons (Goldberg et al 2006)
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96. |
Role of KCNQ1 and IKs in cardiac repolarization (Silva, Rudy 2005) (XPP)
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97. |
Roles of I(A) and morphology in AP prop. in CA1 pyramidal cell dendrites (Acker and White 2007)
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98. |
Signal fidelity in the rostral nucleus of the solitary tract (Boxwell et al 2018)
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99. |
Simulation of calcium signaling in fine astrocytic processes (Denizot et al 2019)
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100. |
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
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101. |
Single neuron with dynamic ion concentrations (Cressman et al. 2009)
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102. |
Spike trains in Hodgkin–Huxley model and ISIs of acupuncture manipulations (Wang et al. 2008)
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103. |
Spontaneous calcium oscillations in astrocytes (Lavrentovich and Hemkin 2008)
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104. |
Spreading depression model for FHM3 with Nav1.1 mutation (Dahlem et al. 2014)
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105. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
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106. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
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107. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
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108. |
Synergistic inhibitory action of oxcarbazepine on INa and IK (Huang et al. 2008)
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109. |
Tapered whiskers are required for active tactile sensation (Hires et al. 2013)
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110. |
Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019)
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111. |
The activity phase of postsynaptic neurons (Bose et al 2004)
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112. |
The role of ATP-sensitive potassium channels in a hippocampal neuron (Huang et al. 2007)
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113. |
The role of glutamate in neuronal ion homeostasis: spreading depolarization (Hubel et al 2017)
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114. |
Two-neuron conductance-based model with dynamic ion concentrations to study NaV1.1 channel mutations
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115. |
Ventricular cell model (Luo Rudy dynamic model) (Luo Rudy 1994) used in (Wang et al 2006) (XPP)
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116. |
Zonisamide-induced inhibition of the firing of APs in hippocampal neurons (Huang et al. 2007)
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