| | Models |
| 1. |
A basal ganglia model of aberrant learning (Ursino et al. 2018)
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| 2. |
A dynamical model of the basal ganglia (Leblois et al 2006)
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| 3. |
A focal seizure model with ion concentration changes (Gentiletti et al., accepted)
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| 4. |
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
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| 5. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 6. |
A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
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| 7. |
A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007)
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| 8. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
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| 9. |
A single column thalamocortical network model (Traub et al 2005)
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| 10. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
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| 11. |
Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020)
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| 12. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
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| 13. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
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| 14. |
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
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| 15. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
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| 16. |
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
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| 17. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
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| 18. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
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| 19. |
Coding explains development of binocular vision and its failure in Amblyopia (Eckmann et al 2020)
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| 20. |
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013)
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| 21. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 22. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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| 23. |
Computational Surgery (Lytton et al. 2011)
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| 24. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
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| 25. |
Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009)
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| 26. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 27. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
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| 28. |
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
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| 29. |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
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| 30. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 31. |
Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007)
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| 32. |
Dentate gyrus network model (Santhakumar et al 2005)
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| 33. |
Dentate gyrus network model (Tejada et al 2014)
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| 34. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
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| 35. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 36. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
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| 37. |
Electrodecrements in in vitro model of infantile spasms (Traub et al 2020)
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| 38. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
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| 39. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
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| 40. |
Epileptic seizure model with Morris-Lecar neurons (Beverlin and Netoff 2011)
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| 41. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
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| 42. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
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| 43. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
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| 44. |
Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)
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| 45. |
Healthy and Epileptic Hippocampal Circuit (Aussel et al 2022)
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| 46. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
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| 47. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
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| 48. |
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
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| 49. |
Human L5 Cortical Circuit (Guet-McCreight)
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| 50. |
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
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| 51. |
Huntington`s disease model (Gambazzi et al. 2010)
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| 52. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
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| 53. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
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| 54. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
|
| 55. |
JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
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| 56. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
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| 57. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
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| 58. |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
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| 59. |
Mechanisms of very fast oscillations in axon networks coupled by gap junctions (Munro, Borgers 2010)
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| 60. |
Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
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| 61. |
Model of arrhythmias in a cardiac cells network (Casaleggio et al. 2014)
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| 62. |
Modeling brain dynamics in brain tumor patients using the Virtual Brain (Aerts et al 2018)
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| 63. |
Modeling epileptic seizure induced by depolarization block (Kim & Dykamp 2017)
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| 64. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 65. |
Multiscale modeling of epileptic seizures (Naze et al. 2015)
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| 66. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
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| 67. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
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| 68. |
Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
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| 69. |
Network model with dynamic ion concentrations (Ullah et al. 2009)
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| 70. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
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| 71. |
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
|
| 72. |
Neuronal population models of intracerebral EEG (Wendling et al. 2005)
|
| 73. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
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| 74. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
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| 75. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
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| 76. |
Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
|
| 77. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
|
| 78. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 79. |
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
|
| 80. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
|
| 81. |
SCN1A gain-of-function in early infantile encephalopathy (Berecki et al 2019)
|
| 82. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
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| 83. |
Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009)
|
| 84. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
|
| 85. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 86. |
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
|
| 87. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 88. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
| 89. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 90. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
|
| 91. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 92. |
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
|
| 93. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 94. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
|
| 95. |
Thalamo-cortical microcircuit (TCM) (AmirAli Farokhniaee and Madeleine M. Lowery 2021)
|
| 96. |
The origin of different spike and wave-like events (Hall et al 2017)
|
| 97. |
Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
|
| 98. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
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