| | Models |
| 1. |
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
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| 2. |
A multi-compartment model for interneurons in the dLGN (Halnes et al. 2011)
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| 3. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 4. |
A single column thalamocortical network model (Traub et al 2005)
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| 5. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 6. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
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| 7. |
Action potential of mouse urinary bladder smooth muscle (Mahapatra et al 2018)
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| 8. |
Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
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| 9. |
Activity dependent changes in motoneurones (Dai Y et al 2002, Gardiner et al 2002)
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| 10. |
Activity dependent conductances in a neuron model (Liu et al. 1998)
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| 11. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
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| 12. |
Afferent Integration in the NAcb MSP Cell (Wolf et al. 2005)
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| 13. |
Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015)
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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. |
Amyloid beta (IA block) effects on a model CA1 pyramidal cell (Morse et al. 2010)
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| 64. |
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
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| 65. |
Availability of low-threshold Ca2+ current in retinal ganglion cells (Lee SC et al. 2003)
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| 66. |
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008)
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| 67. |
Axonal NaV1.6 Sodium Channels in AP Initiation of CA1 Pyramidal Neurons (Royeck et al. 2008)
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| 68. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
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| 69. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 70. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 71. |
CA1 pyramidal neuron (Combe et al 2018)
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| 72. |
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
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| 73. |
CA1 pyramidal neuron: functional significance of axonal Kv7 channels (Shah et al. 2008)
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| 74. |
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
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| 75. |
CA1 pyramidal neurons: effects of a Kv7.2 mutation (Miceli et al. 2009)
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| 76. |
CA3 pyramidal neuron (Lazarewicz et al 2002)
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| 77. |
CA3 Pyramidal Neuron (Migliore et al 1995)
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| 78. |
CA3 pyramidal neuron (Safiulina et al. 2010)
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| 79. |
CA3 pyramidal neuron: firing properties (Hemond et al. 2008)
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| 80. |
Calcium and potassium currents of olfactory bulb juxtaglomerular cells (Masurkar and Chen 2011)
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| 81. |
Calcium spikes in basal dendrites (Kampa and Stuart 2006)
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| 82. |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
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| 83. |
Cerebellar Golgi cell (Solinas et al. 2007a, 2007b)
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| 84. |
Cerebellar nuclear neuron (Sudhakar et al., 2015)
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| 85. |
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010)
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| 86. |
Cerebellar purkinje cell (De Schutter and Bower 1994)
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| 87. |
Cerebellar purkinje cell: K and Ca channels regulate APs (Miyasho et al 2001)
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| 88. |
Channel density variability among CA1 neurons (Migliore et al. 2018)
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| 89. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 90. |
Complex CA1-neuron to study AP initiation (Wimmer et al. 2010)
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| 91. |
Computational model of bladder small DRG neuron soma (Mandge & Manchanda 2018)
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| 92. |
Computer model of clonazepam`s effect in thalamic slice (Lytton 1997)
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| 93. |
Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008)
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| 94. |
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
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| 95. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 96. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
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| 97. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 98. |
Dentate granule cell: mAHP & sAHP; SK & Kv7/M channels (Mateos-Aparicio et al., 2014)
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| 99. |
Dentate gyrus granule cell: calcium and calcium-dependent conductances (Aradi and Holmes 1999)
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| 100. |
Dentate gyrus network model (Santhakumar et al 2005)
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| 101. |
Dentate gyrus network model (Tejada et al 2014)
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| 102. |
Determinants of the intracellular and extracellular waveforms in DA neurons (Lopez-Jury et al 2018)
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| 103. |
Differences between type A and B photoreceptors (Blackwell 2006)
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| 104. |
Differential modulation of pattern and rate in a dopamine neuron model (Canavier and Landry 2006)
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| 105. |
Dopamine neuron of the vent. periaqu. gray and dors. raphe nucleus (vlPAG/DRN) (Dougalis et al 2017)
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| 106. |
Effects of KIR current inactivation in NAc Medium Spiny Neurons (Steephen and Manchanda 2009)
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| 107. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
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| 108. |
Excitability of PFC Basal Dendrites (Acker and Antic 2009)
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| 109. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
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| 110. |
Frog second-order vestibular neuron models (Rossert et al. 2011)
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| 111. |
Global structure, robustness, and modulation of neuronal models (Goldman et al. 2001)
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| 112. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
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| 113. |
Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
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| 114. |
Hypocretin and Locus Coeruleus model neurons (Carter et al 2012)
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| 115. |
Hysteresis in voltage gating of HCN channels (Elinder et al 2006, Mannikko et al 2005)
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| 116. |
IA and IT interact to set first spike latency (Molineux et al 2005)
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| 117. |
Impact of dendritic atrophy on intrinsic and synaptic excitability (Narayanan & Chattarji, 2010)
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| 118. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
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| 119. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
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| 120. |
Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005)
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| 121. |
Ionic mechanisms of bursting in CA3 pyramidal neurons (Xu and Clancy 2008)
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| 122. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
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| 123. |
KV1 channel governs cerebellar output to thalamus (Ovsepian et al. 2013)
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| 124. |
L5 PFC pyramidal neurons (Papoutsi et al. 2017)
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| 125. |
L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
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| 126. |
Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)
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| 127. |
Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018)
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| 128. |
LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)
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| 129. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
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| 130. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
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| 131. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
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| 132. |
Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)
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| 133. |
Medial vestibular neuron models (Quadroni and Knopfel 1994)
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| 134. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
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| 135. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
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| 136. |
Midbrain torus semicircularis neuron model (Aumentado-Armstrong et al. 2015)
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| 137. |
Model of the cerebellar granular network (Sudhakar et al 2017)
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| 138. |
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
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| 139. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
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| 140. |
MyFirstNEURON (Houweling, Sejnowski 1997)
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| 141. |
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
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| 142. |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
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| 143. |
Nodose sensory neuron (Schild et al. 1994, Schild and Kunze 1997)
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| 144. |
O-LM interneuron model (Lawrence et al. 2006)
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| 145. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
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| 146. |
Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
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| 147. |
Paradoxical effect of fAHP amplitude on gain in dentate gyrus granule cells (Jaffe & Brenner 2018)
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| 148. |
Paradoxical GABA-mediated excitation (Lewin et al. 2012)
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| 149. |
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
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| 150. |
Pleiotropic effects of SCZ-associated genes (Mäki-Marttunen et al. 2017)
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| 151. |
Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
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| 152. |
Pyramidal Neuron Deep: Constrained by experiment (Dyhrfjeld-Johnsen et al. 2005)
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| 153. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
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| 154. |
Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001)
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| 155. |
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
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| 156. |
Rat phrenic motor neuron (Amini et al 2004)
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| 157. |
Rat subthalamic projection neuron (Gillies and Willshaw 2006)
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| 158. |
Regulation of firing frequency in a midbrain dopaminergic neuron model (Kuznetsova et al. 2010)
|
| 159. |
Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013)
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| 160. |
Robust and tunable bursting requires slow positive feedback (Franci et al 2018)
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| 161. |
Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
|
| 162. |
Role of the AIS in the control of spontaneous frequency of dopaminergic neurons (Meza et al 2017)
|
| 163. |
Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016)
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| 164. |
SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018)
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| 165. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
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| 166. |
Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017)
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| 167. |
Simulation study of Andersen-Tawil syndrome (Sung et al 2006)
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| 168. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
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| 169. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 170. |
STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011)
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| 171. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
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| 172. |
Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)
|
| 173. |
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
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| 174. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
|
| 175. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
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| 176. |
Superior paraolivary nucleus neuron (Kopp-Scheinpflug et al. 2011)
|
| 177. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
|
| 178. |
T channel currents (Vitko et al 2005)
|
| 179. |
T-type Ca current in thalamic neurons (Wang et al 1991)
|
| 180. |
T-type Calcium currents (McRory et al 2001)
|
| 181. |
Thalamic interneuron multicompartment model (Zhu et al. 1999)
|
| 182. |
Thalamic neuron: Modeling rhythmic neuronal activity (Meuth et al. 2005)
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| 183. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
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| 184. |
Thalamic Relay Neuron: I-T current (Williams, Stuart 2000)
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| 185. |
Thalamic Reticular Network (Destexhe et al 1994)
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| 186. |
Thalamic reticular neurons: the role of Ca currents (Destexhe et al 1996)
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| 187. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
|
| 188. |
Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019)
|
| 189. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
|
| 190. |
Thalamocortical augmenting response (Bazhenov et al 1998)
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| 191. |
Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
|
| 192. |
Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018)
|
| 193. |
Thalamocortical relay neuron models constrained by experiment and optimization (Iavarone et al 2019)
|
| 194. |
The origin of different spike and wave-like events (Hall et al 2017)
|
| 195. |
The subcellular distribution of T-type Ca2+ channels in LGN interneurons (Allken et al. 2014)
|
| 196. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 197. |
Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)
|
| 198. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
|
| 199. |
Using Strahler`s analysis to reduce realistic models (Marasco et al, 2013)
|
| 200. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
|
| 201. |
VTA dopamine neuron (Tarfa, Evans, and Khaliq 2017)
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