| | 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 computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
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| 6. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 7. |
A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
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| 8. |
A focal seizure model with ion concentration changes (Gentiletti et al., 2022)
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| 9. |
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
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| 10. |
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
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| 11. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
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| 12. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 13. |
A network model of tail withdrawal in Aplysia (White et al 1993)
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| 14. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
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| 15. |
A single column thalamocortical network model (Traub et al 2005)
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| 16. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
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| 17. |
A two networks model of connectivity-dependent oscillatory activity (Avella OJ et al. 2014)
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| 18. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 19. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
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| 20. |
ACnet23 primary auditory cortex model (Beeman et al 2019)
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| 21. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
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| 22. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
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| 23. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
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| 24. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 25. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
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| 26. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
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| 27. |
CA1 network model for place cell dynamics (Turi et al 2019)
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| 28. |
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2020)
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| 29. |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
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| 30. |
CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
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| 31. |
Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009)
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| 32. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
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| 33. |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
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| 34. |
Cerebellar granular layer (Maex and De Schutter 1998)
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| 35. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
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| 36. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
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| 37. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 38. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
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| 39. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
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| 40. |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
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| 41. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
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| 42. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 43. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
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| 44. |
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
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| 45. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
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| 46. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
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| 47. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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| 48. |
Decorrelation in the developing visual thalamus (Tikidji-Hamburyan et al, accepted)
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| 49. |
Default mode network model (Matsui et al 2014)
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| 50. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
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| 51. |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
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| 52. |
Dentate gyrus network model (Santhakumar et al 2005)
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| 53. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
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| 54. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
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| 55. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
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| 56. |
Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
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| 57. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
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| 58. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
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| 59. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
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| 60. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 61. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
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| 62. |
Effects of spinal cord stimulation on WDR dorsal horn network (Zhang et al 2014)
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| 63. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
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| 64. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
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| 65. |
ELL pyramidal neuron (Simmonds and Chacron 2014)
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| 66. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
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| 67. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
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| 68. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
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| 69. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
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| 70. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
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| 71. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
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| 72. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
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| 73. |
Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
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| 74. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
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| 75. |
Gamma oscillations in hippocampal interneuron networks (Bartos et al 2002)
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| 76. |
Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996)
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| 77. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
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| 78. |
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
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| 79. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
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| 80. |
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
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| 81. |
Hierarchical network model of perceptual decision making (Wimmer et al 2015)
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| 82. |
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
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| 83. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
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| 84. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
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| 85. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
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| 86. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
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| 87. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
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| 88. |
Hopfield and Brody model (Hopfield, Brody 2000)
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| 89. |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
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| 90. |
Human L5 Cortical Circuit (Guet-McCreight)
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| 91. |
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
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| 92. |
Human tactile FA1 neurons (Hay and Pruszynski 2020)
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| 93. |
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
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| 94. |
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
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| 95. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
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| 96. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
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| 97. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
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| 98. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
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| 99. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
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| 100. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
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| 101. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
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| 102. |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
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| 103. |
Large cortex model with map-based neurons (Rulkov et al 2004)
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| 104. |
Large scale model of the olfactory bulb (Yu et al., 2013)
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| 105. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
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| 106. |
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
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| 107. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
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| 108. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
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| 109. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
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| 110. |
LIP and FEF rhythmic attention model (Aussel et al. 2023)
|
| 111. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
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| 112. |
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations
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| 113. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 114. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
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| 115. |
Model of the cerebellar granular network (Sudhakar et al 2017)
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| 116. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
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| 117. |
Modulation of septo-hippocampal theta activity by GABAA receptors (Hajos et al. 2004)
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| 118. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
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| 119. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
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| 120. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
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| 121. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 122. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
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| 123. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
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| 124. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
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| 125. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
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| 126. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
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| 127. |
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
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| 128. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
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| 129. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
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| 130. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
|
| 131. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
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| 132. |
Olfactory bulb cluster formation (Migliore et al. 2010)
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| 133. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
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| 134. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
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| 135. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
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| 136. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
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| 137. |
Olfactory Bulb Network (Davison et al 2003)
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| 138. |
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
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| 139. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
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| 140. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
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| 141. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
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| 142. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
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| 143. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
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| 144. |
Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)
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| 145. |
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
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| 146. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
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| 147. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
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| 148. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
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| 149. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
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| 150. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
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| 151. |
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
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| 152. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
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| 153. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
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| 154. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
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| 155. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
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| 156. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
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| 157. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
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| 158. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
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| 159. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
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| 160. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
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| 161. |
Single E-I oscillating network with amplitude modulation (Avella Gonzalez et al. 2012)
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| 162. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
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| 163. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
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| 164. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 165. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
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| 166. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
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| 167. |
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
|
| 168. |
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
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| 169. |
Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
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| 170. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 171. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
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| 172. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
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| 173. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
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| 174. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
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| 175. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
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| 176. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
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| 177. |
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
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| 178. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
| 179. |
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
|
| 180. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 181. |
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
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| 182. |
Synchrony by synapse location (McTavish et al. 2012)
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| 183. |
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
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| 184. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
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| 185. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
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| 186. |
Thalamic Reticular Network (Destexhe et al 1994)
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| 187. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
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| 188. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
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| 189. |
Thalamocortical augmenting response (Bazhenov et al 1998)
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| 190. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
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| 191. |
The origin of different spike and wave-like events (Hall et al 2017)
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| 192. |
Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit (Ponzi et al. 2023)
|
| 193. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
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| 194. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
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| 195. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
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