| | 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 approach/model to explore NMDA receptors functions (Keller et al 2017)
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| 6. |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
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| 7. |
A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
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| 8. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 9. |
A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
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| 10. |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
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| 11. |
A focal seizure model with ion concentration changes (Gentiletti et al., 2022)
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| 12. |
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
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| 13. |
A mathematical model of a neurovascular unit (Dormanns et al 2015, 2016) (Farrs & David 2011)
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| 14. |
A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
|
| 15. |
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
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| 16. |
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
|
| 17. |
A model for interaural time difference sensitivity in the medial superior olive (Zhou et al 2005)
|
| 18. |
A model for recurrent spreading depolarizations (Conte et al. 2017)
|
| 19. |
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
|
| 20. |
A model of unitary responses from A/C and PP synapses in CA3 pyramidal cells (Baker et al. 2010)
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| 21. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
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| 22. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (CellML)
|
| 23. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (SBML)
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| 24. |
A network model of tail withdrawal in Aplysia (White et al 1993)
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| 25. |
A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018)
|
| 26. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
|
| 27. |
A sensorimotor-spinal cord model (Hoshino et al. 2022)
|
| 28. |
A simple integrative electrophysiological model of bursting GnRH neurons (Csercsik et al. 2011)
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| 29. |
A simplified model of NMDA oscillations in lamprey locomotor neurons (Huss et al. 2008)
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| 30. |
A single column thalamocortical network model (Traub et al 2005)
|
| 31. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
|
| 32. |
A synapse model for developing somatosensory cortex (Manninen et al 2020)
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| 33. |
A two networks model of connectivity-dependent oscillatory activity (Avella OJ et al. 2014)
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| 34. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
|
| 35. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
|
| 36. |
Acetylcholine Boosts Dendritic NMDA Spikes in a CA3 Pyramidal Neuron Model (Humphries et al., 2021)
|
| 37. |
ACnet23 primary auditory cortex model (Beeman et al 2019)
|
| 38. |
Active dendrites and spike propagation in a hippocampal interneuron (Saraga et al 2003)
|
| 39. |
Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
|
| 40. |
Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017)
|
| 41. |
Activity dependent changes in dendritic spine density and spine structure (Crook et al. 2007)
|
| 42. |
Afferent Integration in the NAcb MSP Cell (Wolf et al. 2005)
|
| 43. |
Ambient glutamate shapes AMPA receptor responses to simulated transients (Balmer et al. 2021)
|
| 44. |
AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)
|
| 45. |
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
|
| 46. |
An allosteric kinetics of NMDARs in STDP (Urakubo et al. 2008)
|
| 47. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
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| 48. |
Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018)
|
| 49. |
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
|
| 50. |
Application of a common kinetic formalism for synaptic models (Destexhe et al 1994)
|
| 51. |
Ave. neuron model for slow-wave sleep in cortex Tatsuki 2016 Yoshida 2018 Rasmussen 2017 (all et al)
|
| 52. |
Axonal subthreshold voltage signaling along hippocampal mossy fiber (Kamiya 2022)
|
| 53. |
BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
|
| 54. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
|
| 55. |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006)
|
| 56. |
Biophysical modeling of pathological brain states (Sudhakar et al 2019)
|
| 57. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
|
| 58. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
|
| 59. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
|
| 60. |
Bursting in dopamine neurons (Li YX et al 1996)
|
| 61. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
|
| 62. |
CA1 network model for place cell dynamics (Turi et al 2019)
|
| 63. |
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2020)
|
| 64. |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
|
| 65. |
CA1 pyr cell: phenomenological NMDAR-based model of synaptic plasticity (Dainauskas et al 2023)
|
| 66. |
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
|
| 67. |
CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
|
| 68. |
CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
|
| 69. |
CA1 pyramidal neuron synaptic integration (Bloss et al. 2016)
|
| 70. |
CA1 pyramidal neuron synaptic integration (Li and Ascoli 2006, 2008)
|
| 71. |
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
|
| 72. |
CA1 pyramidal neuron: action potential backpropagation (Gasparini & Migliore 2015)
|
| 73. |
CA1 pyramidal neuron: calculation of MRI signals (Cassara et al. 2008)
|
| 74. |
CA1 pyramidal neuron: conditional boosting of dendritic APs (Watanabe et al 2002)
|
| 75. |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
|
| 76. |
CA1 pyramidal neuron: dendritic spike initiation (Gasparini et al 2004)
|
| 77. |
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
|
| 78. |
CA1 pyramidal neuron: effects of Ih on distal inputs (Migliore et al 2004)
|
| 79. |
CA1 pyramidal neuron: effects of Lamotrigine on dendritic excitability (Poolos et al 2002)
|
| 80. |
CA1 pyramidal neuron: integration of subthreshold inputs from PP and SC (Migliore 2003)
|
| 81. |
CA1 pyramidal neuron: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
|
| 82. |
CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018)
|
| 83. |
Ca1 pyramidal neuron: reduction model (Marasco et al. 2012)
|
| 84. |
CA1 pyramidal neuron: schizophrenic behavior (Migliore et al. 2011)
|
| 85. |
CA1 pyramidal neuron: signal propagation in oblique dendrites (Migliore et al 2005)
|
| 86. |
CA1 Pyramidal Neuron: Synaptic Scaling (London, Segev 2001)
|
| 87. |
CA1 pyramidal neuron: Synaptic Scaling (Magee, Cook 2000)
|
| 88. |
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
|
| 89. |
CA1 pyramidal neurons: binding properties and the magical number 7 (Migliore et al. 2008)
|
| 90. |
CA1 pyramidal neurons: effect of external electric field from power lines (Cavarretta et al. 2014)
|
| 91. |
CA1 pyramidal neurons: effects of Alzheimer (Culmone and Migliore 2012)
|
| 92. |
CA1 pyramidal neurons: effects of Kv7 (M-) channels on synaptic integration (Shah et al. 2011)
|
| 93. |
CA1 stratum radiatum interneuron multicompartmental model (Katona et al. 2011)
|
| 94. |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
|
| 95. |
Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009)
|
| 96. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
|
| 97. |
Ca3 pyramidal neuron: membrane response near rest (Hemond et al. 2009)
|
| 98. |
Calcium influx during striatal upstates (Evans et al. 2013)
|
| 99. |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
|
| 100. |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
|
| 101. |
Cell-type specific integration of feedforward and feedback synaptic inputs (Ridner et al, 2022)
|
| 102. |
Central Nervous System tadpole model in Matlab and NEURON-Python (Ferrario et al, 2021)
|
| 103. |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
|
| 104. |
Cerebellar granular layer (Maex and De Schutter 1998)
|
| 105. |
Cerebellar granule cell (Masoli et al 2020)
|
| 106. |
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
|
| 107. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
|
| 108. |
Cerebellar nuclear neuron (Sudhakar et al., 2015)
|
| 109. |
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010)
|
| 110. |
Cerebellum granule cell FHF (Dover et al. 2016)
|
| 111. |
Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020)
|
| 112. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
|
| 113. |
Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021)
|
| 114. |
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019)
|
| 115. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
|
| 116. |
Comparison of full and reduced globus pallidus models (Hendrickson 2010)
|
| 117. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
|
| 118. |
Comprehensive models of human cortical pyramidal neurons (Eyal et al 2018)
|
| 119. |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
|
| 120. |
Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008)
|
| 121. |
Conditions of dominant effectiveness of distal dendrites (Korogod, Kulagina 1998)
|
| 122. |
Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017)
|
| 123. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
|
| 124. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
|
| 125. |
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
|
| 126. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 127. |
Cortical network model of posttraumatic epileptogenesis (Bush et al 1999)
|
| 128. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
|
| 129. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
|
| 130. |
Decorrelation in the developing visual thalamus (Tikidji-Hamburyan et al, accepted)
|
| 131. |
Default mode network model (Matsui et al 2014)
|
| 132. |
Dendrites enable a robust mechanism for neuronal stimulus selectivity (Caze et al 2017)
|
| 133. |
Dendritic action potentials and computation in human layer 2/3 cortical neurons (Gidon et al 2020)
|
| 134. |
Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010)
|
| 135. |
Dendritic spine geometry, spine apparatus organization: spatiotemporal Ca dynamics (Bell et al 2019)
|
| 136. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
|
| 137. |
Dentate gyrus granule cell: subthreshold signal processing (Schmidt-Hieber et al. 2007)
|
| 138. |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
|
| 139. |
Dentate gyrus network model (Santhakumar et al 2005)
|
| 140. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
|
| 141. |
DG adult-born granule cell: nonlinear a5-GABAARs control AP firing (Lodge et al, 2021)
|
| 142. |
Differential modulation of pattern and rate in a dopamine neuron model (Canavier and Landry 2006)
|
| 143. |
Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
|
| 144. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
|
| 145. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
|
| 146. |
Distance-dependent synaptic strength in CA1 pyramidal neurons (Menon et al. 2013)
|
| 147. |
Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019)
|
| 148. |
Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
|
| 149. |
Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009)
|
| 150. |
Dopaminergic cell bursting model (Kuznetsov et al 2006)
|
| 151. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
|
| 152. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
|
| 153. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
|
| 154. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
|
| 155. |
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
|
| 156. |
Effects of Dopamine Modulation and KIR Inactivation in NAc Medium Spiny Neurons (Steephen 2011)
|
| 157. |
Effects of electric fields on cognitive functions (Migliore et al 2016)
|
| 158. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 159. |
Effects of KIR current inactivation in NAc Medium Spiny Neurons (Steephen and Manchanda 2009)
|
| 160. |
Effects of neural morphology on global and focal NMDA-spikes (Poleg-Polsky 2015)
|
| 161. |
Effects of spinal cord stimulation on WDR dorsal horn network (Zhang et al 2014)
|
| 162. |
Effects of the membrane AHP on the Lateral Superior Olive (LSO) (Zhou & Colburn 2010)
|
| 163. |
Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994)
|
| 164. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
|
| 165. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 166. |
Electrotonic transform and EPSCs for WT and Q175+/- spiny projection neurons (Goodliffe et al 2018)
|
| 167. |
ELL pyramidal neuron (Simmonds and Chacron 2014)
|
| 168. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
|
| 169. |
Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999)
|
| 170. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
|
| 171. |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
|
| 172. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
|
| 173. |
Estimation and Production of Time Intervals (Migliore et al 2001)
|
| 174. |
Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)
|
| 175. |
Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
|
| 176. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
|
| 177. |
Fast AMPA receptor signaling (Geiger et al 1997)
|
| 178. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
|
| 179. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
|
| 180. |
Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)
|
| 181. |
FS Striatal interneuron: K currents solve signal-to-noise problems (Kotaleski et al 2006)
|
| 182. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
|
| 183. |
Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
|
| 184. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
|
| 185. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
|
| 186. |
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
|
| 187. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
|
| 188. |
Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)
|
| 189. |
Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010)
|
| 190. |
Glutamate diffusion and AMPA receptor activation in the cerebellar glomerulus (Saftenku 2005)
|
| 191. |
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
|
| 192. |
Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011)
|
| 193. |
Gq coupled signaling pathways involved in striatal synaptic plasticity (Kim et al. 2013)
|
| 194. |
Granule Cells of the Olfactory Bulb (Simoes_De_Souza et al. 2014)
|
| 195. |
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
|
| 196. |
Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017)
|
| 197. |
Hierarchical network model of perceptual decision making (Wimmer et al 2015)
|
| 198. |
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
|
| 199. |
Hippocampal CA1 microcircuit model including somatic and dendritic inhibition
|
| 200. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
|
| 201. |
Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)
|
| 202. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
|
| 203. |
Hippocampal CA3 thorny and a-thorny principal neuron models (Linaro et al in review)
|
| 204. |
Hippocampal Mossy Fiber bouton: presynaptic KV7 channel function (Martinello et al 2019)
|
| 205. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
|
| 206. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
|
| 207. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
|
| 208. |
Hopfield and Brody model (Hopfield, Brody 2000)
|
| 209. |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
|
| 210. |
Human L5 Cortical Circuit (Guet-McCreight)
|
| 211. |
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
|
| 212. |
Human tactile FA1 neurons (Hay and Pruszynski 2020)
|
| 213. |
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
|
| 214. |
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
|
| 215. |
Ih levels roles in bursting and regular-spiking subiculum pyramidal neurons (van Welie et al 2006)
|
| 216. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
|
| 217. |
Impact of dendritic atrophy on intrinsic and synaptic excitability (Narayanan & Chattarji, 2010)
|
| 218. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
|
| 219. |
In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017)
|
| 220. |
Information trans. through Entopeduncular nucleus modified by synaptic plasticity (Gorodetsky et al)
|
| 221. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
|
| 222. |
Initiation of spreading depolarization by GABAergic neuron hyperactivity & NaV 1.1 (Chever et al 21)
|
| 223. |
Interacting synaptic conductances during, distorting, voltage clamp (Poleg-Polsky and Diamond 2011)
|
| 224. |
Intracortical synaptic potential modulation by presynaptic somatic potential (Shu et al. 2006, 2007)
|
| 225. |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
|
| 226. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
|
| 227. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
|
| 228. |
Kinetic NMDA receptor model (Kampa et al 2004)
|
| 229. |
Kinetic synaptic models applicable to building networks (Destexhe et al 1998)
|
| 230. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
|
| 231. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
|
| 232. |
KV1 channel governs cerebellar output to thalamus (Ovsepian et al. 2013)
|
| 233. |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
|
| 234. |
L5 PFC pyramidal neurons (Papoutsi et al. 2017)
|
| 235. |
L5 pyr. cell spiking control by oscillatory inhibition in distal apical dendrites (Li et al 2013)
|
| 236. |
Large cortex model with map-based neurons (Rulkov et al 2004)
|
| 237. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 238. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
|
| 239. |
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
|
| 240. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
|
| 241. |
Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
|
| 242. |
Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)
|
| 243. |
LCN-HippoModel: model of CA1 PCs deep-superficial theta firing dynamics (Navas-Olive et al 2020)
|
| 244. |
Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish 2021)
|
| 245. |
Learning intrinsic excitability in Medium Spiny Neurons (Scheler 2014)
|
| 246. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
|
| 247. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
|
| 248. |
LFP in striatum (Tanaka & Nakamura 2019)
|
| 249. |
Linear vs non-linear integration in CA1 oblique dendrites (Gómez González et al. 2011)
|
| 250. |
LIP and FEF rhythmic attention model (Aussel et al. 2023)
|
| 251. |
Locus Coeruleus blocking model (Chowdhury et al.)
|
| 252. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
|
| 253. |
Long-Term Inactivation of Na+ Channels as a Mech of Adaptation in CA1 Pyr Cells (Upchurch et al '22)
|
| 254. |
Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)
|
| 255. |
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
|
| 256. |
Mathematical model for windup (Aguiar et al. 2010)
|
| 257. |
Maximal firing rate in midbrain dopamine neurons (Knowlton et al., 2021)
|
| 258. |
MEC layer II stellate cell: Synaptic mechanisms of grid cells (Schmidt-Hieber & Hausser 2013)
|
| 259. |
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
|
| 260. |
Medial vestibular neuron models (Quadroni and Knopfel 1994)
|
| 261. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 262. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
|
| 263. |
Midbrain dopamine neuron: firing patterns (Canavier 1999)
|
| 264. |
Mirror Neuron (Antunes et al 2017)
|
| 265. |
Model for K-ATP mediated bursting in mSNc DA neurons (Knowlton et al 2018)
|
| 266. |
Model of the cerebellar granular network (Sudhakar et al 2017)
|
| 267. |
Model of the hippocampus over the sleep-wake cycle using Hodgkin-Huxley neurons (Aussel et al 2018)
|
| 268. |
Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014)
|
| 269. |
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
|
| 270. |
Modeling temperature changes in AMPAR kinetics (Postlethwaite et al 2007)
|
| 271. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
|
| 272. |
Modulation of temporal integration window (Migliore, Shepherd 2002)
|
| 273. |
Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)
|
| 274. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
|
| 275. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 276. |
Multiple mechanisms of short term plasticity at the calyx of Held (Hennig et al. 2008)
|
| 277. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
|
| 278. |
Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011)
|
| 279. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
|
| 280. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
|
| 281. |
MyFirstNEURON (Houweling, Sejnowski 1997)
|
| 282. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
|
| 283. |
NAcc medium spiny neuron: effects of cannabinoid withdrawal (Spiga et al. 2010)
|
| 284. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
|
| 285. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
|
| 286. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
|
| 287. |
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
|
| 288. |
Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)
|
| 289. |
Neural mass model of the neocortex under sleep regulation (Costa et al 2016)
|
| 290. |
Neural mass model of the sleeping cortex (Weigenand et al 2014)
|
| 291. |
Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)
|
| 292. |
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
|
| 293. |
Nigral dopaminergic neurons: effects of ethanol on Ih (Migliore et al. 2008)
|
| 294. |
NMDA receptor saturation (Chen et al 2001)
|
| 295. |
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
|
| 296. |
NMDA spikes in basal dendrites of L5 pyramidal neurons (Polsky et al. 2009)
|
| 297. |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
|
| 298. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
|
| 299. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 300. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
|
| 301. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
|
| 302. |
Olfactory bulb cluster formation (Migliore et al. 2010)
|
| 303. |
Olfactory bulb granule cell: effects of odor deprivation (Saghatelyan et al 2005)
|
| 304. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 305. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 306. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 307. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
| 308. |
Olfactory Bulb Network (Davison et al 2003)
|
| 309. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
|
| 310. |
Olfactory Mitral cell: AP initiation modes (Chen et al 2002)
|
| 311. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
|
| 312. |
Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
|
| 313. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
|
| 314. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 315. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
| 316. |
Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)
|
| 317. |
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
|
| 318. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
|
| 319. |
PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
|
| 320. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
|
| 321. |
PreBotzinger Complex inspiratory neuron with NaP and CAN currents (Park and Rubin 2013)
|
| 322. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 323. |
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
|
| 324. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
|
| 325. |
Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001)
|
| 326. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
|
| 327. |
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
|
| 328. |
Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al)
|
| 329. |
Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011)
|
| 330. |
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
|
| 331. |
Regulation of the firing pattern in dopamine neurons (Komendantov et al 2004)
|
| 332. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 333. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 334. |
Reproducibility and comparability of models for astrocyte Ca2+ excitability (Manninen et al 2017)
|
| 335. |
Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)
|
| 336. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
|
| 337. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
|
| 338. |
Response of AMPA receptor kinetic model to glutamate release distance (Allam et al., 2015)
|
| 339. |
Response to correlated synaptic input for HH/IF point neuron vs with dendrite (Górski et al 2018)
|
| 340. |
Ribbon Synapse (Sikora et al 2005)
|
| 341. |
Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
|
| 342. |
Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
|
| 343. |
SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018)
|
| 344. |
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
|
| 345. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 346. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 347. |
Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017)
|
| 348. |
Short Term Depression, Presynaptic Inhib., Neuron Diversity Roles in Antennal Lobe (Wei & Lo 2020)
|
| 349. |
Short term plasticity at the cerebellar granule cell (Nieus et al. 2006)
|
| 350. |
Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
|
| 351. |
Signal integration in a CA1 pyramidal cell (Graham 2001)
|
| 352. |
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
|
| 353. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 354. |
Simulations of modulation of HCN channels in L5PCs (Mäki-Marttunen and Mäki-Marttunen, 2022)
|
| 355. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
|
| 356. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
|
| 357. |
Single compartment: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
|
| 358. |
Single E-I oscillating network with amplitude modulation (Avella Gonzalez et al. 2012)
|
| 359. |
Single-cell comprehensive biophysical model of SN pars compacta (Muddapu & Chakravarthy 2021)
|
| 360. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
|
| 361. |
Spatial constrains of GABAergic rheobase shift (Lombardi et al., 2021)
|
| 362. |
Spatial coupling tunes NMDA receptor responses via Ca2+ diffusion (Iacobucci and Popescu 2019)
|
| 363. |
Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010)
|
| 364. |
Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)
|
| 365. |
Specific inhibition of dendritic plateau potential in striatal projection neurons (Du et al 2017)
|
| 366. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
| 367. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 368. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 369. |
Spine fusion and branching affects synaptic response (Rusakov et al 1996, 1997)
|
| 370. |
Spine neck plasticity controls postsynaptic calcium signals (Grunditz et al. 2008)
|
| 371. |
Spiny Projection Neuron Ca2+ based plasticity is robust to in vivo spike train (Dorman&Blackwell)
|
| 372. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 373. |
STDP and BDNF in CA1 spines (Solinas et al. 2019)
|
| 374. |
STDP and NMDAR Subunits (Gerkin et al. 2007)
|
| 375. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
|
| 376. |
Steady-state Vm distribution of neurons subject to synaptic noise (Rudolph, Destexhe 2005)
|
| 377. |
Stochastic calcium mechanisms cause dendritic calcium spike variability (Anwar et al. 2013)
|
| 378. |
Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
|
| 379. |
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
|
| 380. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 381. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
|
| 382. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
| 383. |
Striatal Spiny Projection Neuron (SPN) plasticity rule (Jedrzejewska-Szmek et al 2016)
|
| 384. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
|
| 385. |
Striatum D1 Striosome and Matrix Upstates (Prager et al., 2020)
|
| 386. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 387. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 388. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 389. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 390. |
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
|
| 391. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
| 392. |
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
|
| 393. |
Synaptic integration by MEC neurons (Justus et al. 2017)
|
| 394. |
Synaptic integration in a model of granule cells (Gabbiani et al 1994)
|
| 395. |
Synaptic integration in tuft dendrites of layer 5 pyramidal neurons (Larkum et al. 2009)
|
| 396. |
Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)
|
| 397. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 398. |
Synaptic transmission at the calyx of Held (Graham et al 2001)
|
| 399. |
Synaptic vesicle fusion model (Church et al 2021)
|
| 400. |
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
|
| 401. |
Synchrony by synapse location (McTavish et al. 2012)
|
| 402. |
Synthesis of spatial tuning functions from theta cell spike trains (Welday et al., 2011)
|
| 403. |
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
|
| 404. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 405. |
Thalamic neuron, zebra finch DLM: Integration of pallidal and cortical inputs (Goldberg et al. 2012)
|
| 406. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
| 407. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
|
| 408. |
Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019)
|
| 409. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
|
| 410. |
Thalamocortical augmenting response (Bazhenov et al 1998)
|
| 411. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
|
| 412. |
Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
|
| 413. |
The APP in C-terminal domain alters CA1 neuron firing (Pousinha et al 2019)
|
| 414. |
The electrodiffusive neuron-extracellular-glia (edNEG) model (Sætra et al. 2021)
|
| 415. |
The origin of different spike and wave-like events (Hall et al 2017)
|
| 416. |
The role of glutamate in neuronal ion homeostasis: spreading depolarization (Hubel et al 2017)
|
| 417. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 418. |
Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit (Ponzi et al. 2023)
|
| 419. |
Tonic activation of extrasynaptic NMDA-R promotes bistability (Gall & Dupont 2020)
|
| 420. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
| 421. |
Two populations of excitatory neurons in the superficial retrosplenial cortex (Brennan et al 2020)
|
| 422. |
Two-neuron conductance-based model with dynamic ion concentrations to study NaV1.1 channel mutations
|
| 423. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
|
| 424. |
Using Strahler's analysis to reduce realistic models (Marasco et al, 2013)
|
| 425. |
Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)
|
| 426. |
Visual Cortex Neurons: Dendritic study (Anderson et al 1999)
|
| 427. |
Voltage attenuation in CA1 pyramidal neuron dendrites (Golding et al 2005)
|
| 428. |
VTA dopamine neuron (Tarfa, Evans, and Khaliq 2017)
|
