| | Models |
| 1. |
2D model of olfactory bulb gamma oscillations (Li and Cleland 2017)
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| 2. |
3D model of the olfactory bulb (Migliore et al. 2014)
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| 3. |
3D olfactory bulb: operators (Migliore et al, 2015)
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| 4. |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
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| 5. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 6. |
A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
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| 7. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 8. |
A single column thalamocortical network model (Traub et al 2005)
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| 9. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
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| 10. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 11. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
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| 12. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
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| 13. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
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| 14. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 15. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 16. |
CA1 network model for place cell dynamics (Turi et al 2019)
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| 17. |
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2019)
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| 18. |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
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| 19. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
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| 20. |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
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| 21. |
Cerebellar granular layer (Maex and De Schutter 1998)
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| 22. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 23. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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| 24. |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
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| 25. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 26. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
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| 27. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
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| 28. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 29. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
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| 30. |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
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| 31. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
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| 32. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
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| 33. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
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| 34. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
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| 35. |
Effects of spinal cord stimulation on WDR dorsal horn network (Zhang et al 2014)
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| 36. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
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| 37. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
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| 38. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
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| 39. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
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| 40. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
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| 41. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
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| 42. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
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| 43. |
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
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| 44. |
Hierarchical network model of perceptual decision making (Wimmer et al 2015)
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| 45. |
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
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| 46. |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
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| 47. |
Human tactile FA1 neurons (Hay and Pruszynski 2020)
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| 48. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
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| 49. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
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| 50. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
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| 51. |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
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| 52. |
Large scale model of the olfactory bulb (Yu et al., 2013)
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| 53. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
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| 54. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
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| 55. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
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| 56. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
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| 57. |
Model of the cerebellar granular network (Sudhakar et al 2017)
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| 58. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
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| 59. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
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| 60. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
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| 61. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
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| 62. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 63. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
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| 64. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
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| 65. |
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
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| 66. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
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| 67. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
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| 68. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
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| 69. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 70. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
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| 71. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
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| 72. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
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| 73. |
Olfactory Bulb Network (Davison et al 2003)
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| 74. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
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| 75. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
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| 76. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
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| 77. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
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| 78. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 79. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
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| 80. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
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| 81. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
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| 82. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
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| 83. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
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| 84. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
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| 85. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
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| 86. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
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| 87. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
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| 88. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 89. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 90. |
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
|
| 91. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 92. |
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
|
| 93. |
Synchrony by synapse location (McTavish et al. 2012)
|
| 94. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 95. |
The origin of different spike and wave-like events (Hall et al 2017)
|
| 96. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
| 97. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
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