| | Models |
| 1. |
3D olfactory bulb: operators (Migliore et al, 2015)
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| 2. |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019)
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| 3. |
A focal seizure model with ion concentration changes (Gentiletti et al., 2022)
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| 4. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
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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 model for critical assessment of brain connectivity (Ursino et al 2020)
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| 7. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
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| 8. |
ACnet23 primary auditory cortex model (Beeman et al 2019)
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| 9. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
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| 10. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
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| 11. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
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| 12. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
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| 13. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 14. |
Cerebellar granular layer (Maex and De Schutter 1998)
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| 15. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
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| 16. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
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| 17. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
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| 18. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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| 19. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
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| 20. |
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
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| 21. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 22. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
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| 23. |
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
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| 24. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
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| 25. |
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
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| 26. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 27. |
Default mode network model (Matsui et al 2014)
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| 28. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
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| 29. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
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| 30. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
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| 31. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
|
| 32. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
|
| 33. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
|
| 34. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 35. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 36. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 37. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
|
| 38. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
|
| 39. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
|
| 40. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 41. |
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
|
| 42. |
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018)
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| 43. |
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
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| 44. |
Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)
|
| 45. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
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| 46. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
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| 47. |
Human L5 Cortical Circuit (Guet-McCreight)
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| 48. |
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
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| 49. |
Human sleep/wake cycle (Rempe et al. 2010)
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| 50. |
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
|
| 51. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
|
| 52. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
|
| 53. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
|
| 54. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
|
| 55. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
|
| 56. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
|
| 57. |
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
|
| 58. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 59. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
|
| 60. |
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
|
| 61. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
|
| 62. |
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
|
| 63. |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
|
| 64. |
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations
|
| 65. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 66. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
|
| 67. |
Model of the cerebellar granular network (Sudhakar et al 2017)
|
| 68. |
Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
|
| 69. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
|
| 70. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 71. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
|
| 72. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
|
| 73. |
Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)
|
| 74. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
|
| 75. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
|
| 76. |
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
|
| 77. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
|
| 78. |
Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015)
|
| 79. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 80. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
|
| 81. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 82. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 83. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 84. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
| 85. |
Olfactory Bulb Network (Davison et al 2003)
|
| 86. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
|
| 87. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
|
| 88. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
| 89. |
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
|
| 90. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
|
| 91. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 92. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
| 93. |
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
|
| 94. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
|
| 95. |
Piriform cortex network model with multicompartment neurons for cell assemblies (Traub et al 2021)
|
| 96. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 97. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
|
| 98. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
|
| 99. |
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
|
| 100. |
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
|
| 101. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 102. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
|
| 103. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
|
| 104. |
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
|
| 105. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
|
| 106. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 107. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 108. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 109. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 110. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
|
| 111. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 112. |
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
|
| 113. |
Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
|
| 114. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 115. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
|
| 116. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
| 117. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 118. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 119. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 120. |
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
|
| 121. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
| 122. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 123. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 124. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
| 125. |
Thalamocortical augmenting response (Bazhenov et al 1998)
|
| 126. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
|
| 127. |
Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit (Ponzi et al. 2023)
|
| 128. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
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