| | Models |
| 1. |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
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| 2. |
A dual-Ca2+-sensor model for neurotransmitter release in a central synapse (Sun et al. 2007)
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| 3. |
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
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| 4. |
A mathematical model of a neurovascular unit (Dormanns et al 2015, 2016) (Farrs & David 2011)
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| 5. |
A mathematical model of evoked calcium dynamics in astrocytes (Handy et al 2017)
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| 6. |
A model of neurovascular coupling and the BOLD response (Mathias et al 2017, Kenny et al 2018)
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| 7. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (CellML)
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| 8. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (SBML)
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| 9. |
A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
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| 10. |
A simple integrative electrophysiological model of bursting GnRH neurons (Csercsik et al. 2011)
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| 11. |
Action potential of mouse urinary bladder smooth muscle (Mahapatra et al 2018)
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| 12. |
Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
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| 13. |
Activity dependent changes in dendritic spine density and spine structure (Crook et al. 2007)
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| 14. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
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| 15. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
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| 16. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
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| 17. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
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| 18. |
Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
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| 19. |
Allen Institute: Nr5a1-Cre VISp layer 4 329322394
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| 20. |
Allen Institute: Nr5a1-Cre VISp layer 4 472306544
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| 21. |
Allen Institute: Nr5a1-Cre VISp layer 4 472442377
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| 22. |
Allen Institute: Nr5a1-Cre VISp layer 4 472451419
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| 23. |
Allen Institute: Nr5a1-Cre VISp layer 4 472915634
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| 24. |
Allen Institute: Nr5a1-Cre VISp layer 4 473834758
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| 25. |
Allen Institute: Nr5a1-Cre VISp layer 4 473863035
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| 26. |
Allen Institute: Nr5a1-Cre VISp layer 4 473871429
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| 27. |
Allen Institute: Ntsr1-Cre VISp layer 4 472430904
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| 28. |
Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
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| 29. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
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| 30. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114
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| 31. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
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| 32. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
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| 33. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
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| 34. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
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| 35. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
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| 36. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
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| 37. |
Allen Institute: Rbp4-Cre VISp layer 5 472424854
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| 38. |
Allen Institute: Rbp4-Cre VISp layer 6a 473871592
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| 39. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
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| 40. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
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| 41. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
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| 42. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
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| 43. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
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| 44. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
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| 45. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
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| 46. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
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| 47. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
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| 48. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
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| 49. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
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| 50. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
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| 51. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
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| 52. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
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| 53. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
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| 54. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
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| 55. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
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| 56. |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 471086533
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| 57. |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
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| 58. |
Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
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| 59. |
Allen Institute: Sst-IRES-Cre VISp layer 5 472299363
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| 60. |
Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
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| 61. |
Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
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| 62. |
Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
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| 63. |
Ave. neuron model for slow-wave sleep in cortex Tatsuki 2016 Yoshida 2018 Rasmussen 2017 (all et al)
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| 64. |
BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
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| 65. |
Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
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| 66. |
Biophysically detailed model of the mouse sino-atrial node cell (Kharche et al. 2011)
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| 67. |
Ca(2+) oscillations based on Ca-induced Ca-release (Dupont et al 1991)
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| 68. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 69. |
CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
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| 70. |
CA1 pyramidal neuron: dendritic Ca2+ inhibition (Muellner et al. 2015)
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| 71. |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
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| 72. |
CA1 pyramidal: Stochastic amplification of KCa in Ca2+ microdomains (Stanley et al. 2011)
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| 73. |
Ca2+ current versus Ca2+ channel cooperativity of exocytosis (Matveev et al. 2009)
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| 74. |
Ca2+ oscillations in single astrocytes (Lavrentovich and Hemkin 2008) (python) (Manninen et al 2017)
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| 75. |
Ca2+ Oscillations in Sympathetic neurons (Friel 1995)
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| 76. |
Calcium dynamics depend on dendritic diameters (Anwar et al. 2014)
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| 77. |
Calcium influx during striatal upstates (Evans et al. 2013)
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| 78. |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
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| 79. |
Calcium spikes in basal dendrites (Kampa and Stuart 2006)
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| 80. |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
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| 81. |
Calcium waves in neuroblastoma cells (Fink et al. 2000)
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| 82. |
Cardiac Atrial Cell (Courtemanche et al 1998)
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| 83. |
Cardiac sarcomere dynamics (Negroni and Lascano 1996)
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| 84. |
Cerebellar granule cell (Masoli et al 2020)
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| 85. |
Cerebellar purkinje cell: interacting Kv3 and Na currents influence firing (Akemann, Knopfel 2006)
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| 86. |
Cerebellar purkinje cell: K and Ca channels regulate APs (Miyasho et al 2001)
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| 87. |
Cerebellum Purkinje cell: dendritic ion channels activated by climbing fibre (Ait Ouares et al 2019)
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| 88. |
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019)
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| 89. |
Computational model of bladder small DRG neuron soma (Mandge & Manchanda 2018)
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| 90. |
Computer model of clonazepam`s effect in thalamic slice (Lytton 1997)
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| 91. |
Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008)
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| 92. |
Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017)
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| 93. |
Controlling KCa channels with different Ca2+ buffering models in Purkinje cell (Anwar et al. 2012)
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| 94. |
Dendritic signals command firing dynamics in a Cerebellar Purkinje Cell model (Genet et al. 2010)
|
| 95. |
Dendritic spine geometry, spine apparatus organization: spatiotemporal Ca dynamics (Bell et al 2019)
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| 96. |
Dentate granule cell: mAHP & sAHP; SK & Kv7/M channels (Mateos-Aparicio et al., 2014)
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| 97. |
Dentate gyrus granule cell: calcium and calcium-dependent conductances (Aradi and Holmes 1999)
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| 98. |
Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007)
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| 99. |
Deterministic chaos in a mathematical model of a snail neuron (Komendantov and Kononenko 1996)
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| 100. |
Differential modulation of pattern and rate in a dopamine neuron model (Canavier and Landry 2006)
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| 101. |
Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
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| 102. |
Disentangling astroglial physiology with a realistic cell model in silico (Savtchenko et al 2018)
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| 103. |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
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| 104. |
ERG current in repolarizing plateau potentials in dopamine neurons (Canavier et al 2007)
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| 105. |
Excitability of PFC Basal Dendrites (Acker and Antic 2009)
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| 106. |
Excitation-contraction coupling/mitochondrial energetics (ECME) model (Cortassa et al. 2006)
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| 107. |
Facilitation model based on bound Ca2+ (Matveev et al. 2006)
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| 108. |
Facilitation through buffer saturation (Matveev et al. 2004)
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| 109. |
Glutamate-evoked Ca2+ oscillations in single astrocytes (De Pitta et al. 2009) (Manninen et al 2017)
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| 110. |
Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011)
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| 111. |
Intrinsic sensory neurons of the gut (Chambers et al. 2014)
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| 112. |
Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005)
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| 113. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
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| 114. |
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
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| 115. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
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| 116. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
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| 117. |
Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)
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| 118. |
Medial vestibular neuron models (Quadroni and Knopfel 1994)
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| 119. |
Model for K-ATP mediated bursting in mSNc DA neurons (Knowlton et al 2018)
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| 120. |
Model of AngII signaling and membrane electrophysiology (Makadia, Anderson, Fey et al., 2015)
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| 121. |
Model of calcium oscillations in olfactory cilia (Reidl et al. 2006)
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| 122. |
Model of eupnea and sigh generation in respiratory network (Toporikova et al 2015)
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| 123. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
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| 124. |
Multiple dynamical modes of thalamic relay neurons (Wang XJ 1994)
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| 125. |
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
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| 126. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
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| 127. |
MyFirstNEURON (Houweling, Sejnowski 1997)
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| 128. |
Neocortical pyramidal neuron: deep; effects of dopamine (Durstewitz et al 2000)
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| 129. |
Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)
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| 130. |
Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)
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| 131. |
New and corrected simulations of synaptic facilitation (Matveev et al. 2002)
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| 132. |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
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| 133. |
Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
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| 134. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
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| 135. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
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| 136. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
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| 137. |
Opposing roles for Na+/Ca2+ exchange and Ca2+-activated K+ currents during STDP (O`Halloran 2020)
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| 138. |
Paired turbulence and light effect on calcium increase in Hermissenda (Blackwell 2004)
|
| 139. |
Pancreatic Beta Cell signalling pathways (Fridlyand & Philipson 2016) (MATLAB)
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| 140. |
Paradoxical GABA-mediated excitation (Lewin et al. 2012)
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| 141. |
Parallel STEPS: Large scale stochastic spatial reaction-diffusion simulat. (Chen & De Schutter 2017)
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| 142. |
Persistent Spiking in ACC Neurons (Ratte et al 2018)
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| 143. |
Phase plane reveals two slow variables in midbrain dopamine neuron bursts (Yu and Canavier, 2015)
|
| 144. |
Presynaptic calcium dynamics at neuromuscular junction (Stockbridge, Moore 1984)
|
| 145. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
|
| 146. |
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
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| 147. |
Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001)
|
| 148. |
Quantal neurotransmitter release kinetics with fixed and mobile Ca2+ buffers (Gilmanov et al. 2008)
|
| 149. |
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
|
| 150. |
Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
|
| 151. |
Reproducibility and comparability of models for astrocyte Ca2+ excitability (Manninen et al 2017)
|
| 152. |
Ribbon Synapse (Sikora et al 2005)
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| 153. |
Rod photoreceptor (Barnes and Hille 1989, Publio et al. 2006, Kourennyi and Liu et al. 2004)
|
| 154. |
Salamander retinal ganglian cells: morphology influences firing (Sheasby, Fohlmeister 1999)
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| 155. |
Salamander retinal ganglion cell: ion channels (Fohlmeister, Miller 1997)
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| 156. |
Simulated light response in rod photoreceptors (Liu and Kourennyi 2004)
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| 157. |
Simulation of calcium signaling in fine astrocytic processes (Denizot et al 2019)
|
| 158. |
Species-specific wiring for direction selectivity in the mammalian retina (Ding et al 2016)
|
| 159. |
Spike timing detection in different forms of LTD (Doi et al 2005)
|
| 160. |
Spine neck plasticity controls postsynaptic calcium signals (Grunditz et al. 2008)
|
| 161. |
Spontaneous calcium oscillations in astrocytes (Lavrentovich and Hemkin 2008)
|
| 162. |
Spontaneous calcium oscillations in single astrocytes (Riera et al. 2011) (Manninen et al 2017)
|
| 163. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 164. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
|
| 165. |
Stochastic automata network Markov model descriptors of coupled Ca2+ channels (Nguyen et al. 2005)
|
| 166. |
Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)
|
| 167. |
Stochastic model of the olfactory cilium transduction and adaptation (Antunes et al 2014)
|
| 168. |
Striatal Spiny Projection Neuron (SPN) plasticity rule (Jedrzejewska-Szmek et al 2016)
|
| 169. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
|
| 170. |
Synaptic integration in a model of granule cells (Gabbiani et al 1994)
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| 171. |
Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003)
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| 172. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
| 173. |
Thalamic Reticular Network (Destexhe et al 1994)
|
| 174. |
Thalamic reticular neurons: the role of Ca currents (Destexhe et al 1996)
|
| 175. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
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| 176. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 177. |
Tonic activation of extrasynaptic NMDA-R promotes bistability (Gall & Dupont 2020)
|
| 178. |
Tonic neuron in spinal lamina I: prolongation of subthreshold depol. (Prescott and De Koninck 2005)
|
| 179. |
Transmitter release and Ca diffusion models (Yamada and Zucker 1992)
|
| 180. |
Two forms of synaptic depression by neuromodulation of presynaptic Ca2+ channels (Burke et al 2018)
|
| 181. |
Ventricular cell model (Luo Rudy dynamic model) (Luo Rudy 1994) used in (Wang et al 2006) (XPP)
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