| | Models |
| 1. |
3D olfactory bulb: operators (Migliore et al, 2015)
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| 2. |
A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
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| 3. |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019)
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| 4. |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
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| 5. |
A Fast Rhythmic Bursting Cell: in vivo cell modeling (Lee 2007)
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| 6. |
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
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| 7. |
A Layer V CCS type pyramidal cell, inhibitory synapse current conduction (Kubota Y et al., 2015)
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| 8. |
A mathematical model of a neurovascular unit (Dormanns et al 2015, 2016) (Farrs & David 2011)
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| 9. |
A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
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| 10. |
A model for recurrent spreading depolarizations (Conte et al. 2017)
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| 11. |
A Model of Multiple Spike Initiation Zones in the Leech C-interneuron (Crisp 2009)
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| 12. |
A model of neurovascular coupling and the BOLD response (Mathias et al 2017, Kenny et al 2018)
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| 13. |
A model of unitary responses from A/C and PP synapses in CA3 pyramidal cells (Baker et al. 2010)
|
| 14. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
|
| 15. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
|
| 16. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (CellML)
|
| 17. |
A multiscale approach to analyze circadian rhythms (Vasalou & Henson, 2010) (SBML)
|
| 18. |
A network model of the vertebrate retina (Publio et al. 2009)
|
| 19. |
A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
|
| 20. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
|
| 21. |
A synapse model for developing somatosensory cortex (Manninen et al 2020)
|
| 22. |
ACnet23 primary auditory cortex model (Beeman et al 2019)
|
| 23. |
Active zone model of Ca2+ secretion coupling (Keller et al. 2015)
|
| 24. |
Ambient glutamate shapes AMPA receptor responses to simulated transients (Balmer et al. 2021)
|
| 25. |
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
|
| 26. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
|
| 27. |
An integrative dynamic model of brain energy metabolism (Coultier et al 2009)
|
| 28. |
Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018)
|
| 29. |
Application of a common kinetic formalism for synaptic models (Destexhe et al 1994)
|
| 30. |
Ave. neuron model for slow-wave sleep in cortex Tatsuki 2016 Yoshida 2018 Rasmussen 2017 (all et al)
|
| 31. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
|
| 32. |
Basket cell extrasynaptic inhibition modulates network oscillations (Proddutur et al., 2013)
|
| 33. |
BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
|
| 34. |
Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020)
|
| 35. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
|
| 36. |
Biophysical modeling of pathological brain states (Sudhakar et al 2019)
|
| 37. |
Bursting in dopamine neurons (Li YX et al 1996)
|
| 38. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
|
| 39. |
CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
|
| 40. |
CA1 pyramidal neuron: calculation of MRI signals (Cassara et al. 2008)
|
| 41. |
CA1 pyramidal neuron: dendritic Ca2+ inhibition (Muellner et al. 2015)
|
| 42. |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
|
| 43. |
CA1 pyramidal neuron: dendritic spike initiation (Gasparini et al 2004)
|
| 44. |
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
|
| 45. |
CA1 pyramidal neuron: integration of subthreshold inputs from PP and SC (Migliore 2003)
|
| 46. |
CA1 pyramidal neuron: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
|
| 47. |
CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018)
|
| 48. |
CA1 pyramidal neuron: rebound spiking (Ascoli et al.2010)
|
| 49. |
CA1 pyramidal neuron: schizophrenic behavior (Migliore et al. 2011)
|
| 50. |
CA1 pyramidal neuron: signal propagation in oblique dendrites (Migliore et al 2005)
|
| 51. |
CA1 pyramidal neurons: effect of external electric field from power lines (Cavarretta et al. 2014)
|
| 52. |
CA1 pyramidal neurons: effects of Kv7 (M-) channels on synaptic integration (Shah et al. 2011)
|
| 53. |
CA3 pyramidal neuron (Safiulina et al. 2010)
|
| 54. |
Ca3 pyramidal neuron: membrane response near rest (Hemond et al. 2009)
|
| 55. |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
|
| 56. |
Calyx of Held, short term plasticity (Yang Z et al. 2009)
|
| 57. |
Cellular and Synaptic Mechanisms Differentiate Mitral & Superficial Tufted Cells (Jones et al 2020)
|
| 58. |
Cerebellar granular layer (Maex and De Schutter 1998)
|
| 59. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
|
| 60. |
Cerebellar nuclear neuron (Sudhakar et al., 2015)
|
| 61. |
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010)
|
| 62. |
Cholinergic and nicotinic regulation of DA neuron firing (Morozova et al 2020)
|
| 63. |
Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020)
|
| 64. |
Cl- homeostasis in immature hippocampal CA3 neurons (Kolbaev et al 2020)
|
| 65. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
|
| 66. |
Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021)
|
| 67. |
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019)
|
| 68. |
Comparison of full and reduced globus pallidus models (Hendrickson 2010)
|
| 69. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
|
| 70. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
|
| 71. |
Computational Modelling of TNFalpha Pathway in Parkinson's Disease (Sasidharakurup et al 2019)
|
| 72. |
Computational neuropharmacology of CA1 pyramidal neuron (Ferrante et al. 2008)
|
| 73. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
|
| 74. |
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
|
| 75. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
|
| 76. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
|
| 77. |
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
|
| 78. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 79. |
Cortical network model of posttraumatic epileptogenesis (Bush et al 1999)
|
| 80. |
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
|
| 81. |
DBS of a multi-compartment model of subthalamic nucleus projection neurons (Miocinovic et al. 2006)
|
| 82. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
|
| 83. |
Default mode network model (Matsui et al 2014)
|
| 84. |
Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010)
|
| 85. |
Dendritic signals command firing dynamics in a Cerebellar Purkinje Cell model (Genet et al. 2010)
|
| 86. |
Dentate Basket Cell: spatial summation of inhibitory synaptic inputs (Bartos et al 2001)
|
| 87. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
|
| 88. |
Dentate gyrus granule cell: subthreshold signal processing (Schmidt-Hieber et al. 2007)
|
| 89. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
|
| 90. |
DG adult-born granule cell: nonlinear a5-GABAARs control AP firing (Lodge et al, accepted)
|
| 91. |
Disentangling astroglial physiology with a realistic cell model in silico (Savtchenko et al 2018)
|
| 92. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
|
| 93. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
|
| 94. |
Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019)
|
| 95. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
|
| 96. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
|
| 97. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
|
| 98. |
Early-onset epileptic encephalopathy (Miceli et al. 2015)
|
| 99. |
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
|
| 100. |
Effects of Chloride accumulation and diffusion on GABAergic transmission (Jedlicka et al 2011)
|
| 101. |
Effects of electric fields on cognitive functions (Migliore et al 2016)
|
| 102. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 103. |
Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994)
|
| 104. |
Electrical activity of the suprachiasmatic nuclei (Stinchcombe et al. 2017)
|
| 105. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 106. |
ELL Medium Ganglion cell (Muller et al 2019)
|
| 107. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
|
| 108. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
|
| 109. |
Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999)
|
| 110. |
Endothelin action on pituitary latotrophs (Bertram et al. 2006)
|
| 111. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
|
| 112. |
Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b)
|
| 113. |
Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
|
| 114. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
|
| 115. |
Factors contribution to GDP-induced [Cl-]i transients (Lombardi et al 2019)
|
| 116. |
Fast AMPA receptor signaling (Geiger et al 1997)
|
| 117. |
Frog second-order vestibular neuron models (Rossert et al. 2011)
|
| 118. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 119. |
Functional impact of dendritic branch point morphology (Ferrante et al., 2013)
|
| 120. |
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
|
| 121. |
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018)
|
| 122. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
|
| 123. |
Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010)
|
| 124. |
Glutamate diffusion and AMPA receptor activation in the cerebellar glomerulus (Saftenku 2005)
|
| 125. |
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
|
| 126. |
Glutamate-evoked Ca2+ oscillations in single astrocytes (De Pitta et al. 2009) (Manninen et al 2017)
|
| 127. |
Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011)
|
| 128. |
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
|
| 129. |
Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)
|
| 130. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
|
| 131. |
Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)
|
| 132. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
|
| 133. |
Hippocampal Mossy Fiber bouton: presynaptic KV7 channel function (Martinello et al 2019)
|
| 134. |
Hippocampus CA1 Interneuron Specific 3 (IS3) in vivo-like virtual NN simulations (Luo et al 2020)
|
| 135. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
|
| 136. |
Human sleep/wake cycle (Rempe et al. 2010)
|
| 137. |
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
|
| 138. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
|
| 139. |
Impact of dendritic atrophy on intrinsic and synaptic excitability (Narayanan & Chattarji, 2010)
|
| 140. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
|
| 141. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
|
| 142. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
|
| 143. |
Inhibitory network bistability explains increased activity prior to seizure onset (Rich et al 2020)
|
| 144. |
Initiation of spreading depolarization by GABAergic neuron hyperactivity & NaV 1.1 (Chever et al 21)
|
| 145. |
Interacting synaptic conductances during, distorting, voltage clamp (Poleg-Polsky and Diamond 2011)
|
| 146. |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
|
| 147. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
|
| 148. |
Kinetic NMDA receptor model (Kampa et al 2004)
|
| 149. |
Kinetic synaptic models applicable to building networks (Destexhe et al 1998)
|
| 150. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
|
| 151. |
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
|
| 152. |
L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019)
|
| 153. |
L5 PFC pyramidal neurons (Papoutsi et al. 2017)
|
| 154. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 155. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
|
| 156. |
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
|
| 157. |
Layer 5 Pyramidal Neuron (Shai et al., 2015)
|
| 158. |
Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
|
| 159. |
Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019)
|
| 160. |
LCN-HippoModel: model of CA1 PCs deep-superficial theta firing dynamics (Navas-Olive et al 2020)
|
| 161. |
Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish accepted)
|
| 162. |
Learning intrinsic excitability in Medium Spiny Neurons (Scheler 2014)
|
| 163. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
|
| 164. |
LFP in striatum (Tanaka & Nakamura 2019)
|
| 165. |
LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
|
| 166. |
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
|
| 167. |
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
|
| 168. |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
|
| 169. |
Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)
|
| 170. |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
|
| 171. |
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
|
| 172. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 173. |
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
|
| 174. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
|
| 175. |
Mirror Neuron (Antunes et al 2017)
|
| 176. |
Model for concentration invariant odor coding based on primacy hypothesis (Wilson et al 2017)
|
| 177. |
Model of the cerebellar granular network (Sudhakar et al 2017)
|
| 178. |
Model of the Xenopus tadpole swimming spinal network (Roberts et al. 2014)
|
| 179. |
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
|
| 180. |
Modeling temperature changes in AMPAR kinetics (Postlethwaite et al 2007)
|
| 181. |
Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)
|
| 182. |
Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
|
| 183. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
|
| 184. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 185. |
Mouse Episodic and Continuous Locomotion CPG (Sharples et al, accepted)
|
| 186. |
Multiple mechanisms of short term plasticity at the calyx of Held (Hennig et al. 2008)
|
| 187. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
|
| 188. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
|
| 189. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
|
| 190. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
|
| 191. |
NAcc medium spiny neuron: effects of cannabinoid withdrawal (Spiga et al. 2010)
|
| 192. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
|
| 193. |
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
|
| 194. |
Neural mass model of the neocortex under sleep regulation (Costa et al 2016)
|
| 195. |
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
|
| 196. |
Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
|
| 197. |
NMDA receptor saturation (Chen et al 2001)
|
| 198. |
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
|
| 199. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
|
| 200. |
Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015)
|
| 201. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 202. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
|
| 203. |
Olfactory bulb granule cell: effects of odor deprivation (Saghatelyan et al 2005)
|
| 204. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 205. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 206. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 207. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
| 208. |
Olfactory Bulb Network (Davison et al 2003)
|
| 209. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
|
| 210. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
|
| 211. |
Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
|
| 212. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
| 213. |
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
|
| 214. |
Paired turbulence and light effect on calcium increase in Hermissenda (Blackwell 2004)
|
| 215. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
|
| 216. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 217. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
| 218. |
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
|
| 219. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
|
| 220. |
Pipette and membrane patch geometry effects on GABAa currents patch-clamp exps (Moroni et al. 2011)
|
| 221. |
Piriform cortex network model with multicompartment neurons for cell assemblies (Traub et al 2021)
|
| 222. |
piriform plus endopiriform circuit model. Pyramidal cells, multipolar neurons, interneurons.
|
| 223. |
PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
|
| 224. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 225. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
|
| 226. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
|
| 227. |
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
|
| 228. |
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
|
| 229. |
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
|
| 230. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 231. |
Reproducibility and comparability of models for astrocyte Ca2+ excitability (Manninen et al 2017)
|
| 232. |
Respiratory central pattern generator (mammalian brainstem) (Rubin & Smith 2019)
|
| 233. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
|
| 234. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
|
| 235. |
Response of AMPA receptor kinetic model to glutamate release distance (Allam et al., 2015)
|
| 236. |
Ribbon Synapse (Sikora et al 2005)
|
| 237. |
Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017)
|
| 238. |
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
|
| 239. |
Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
|
| 240. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
|
| 241. |
SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018)
|
| 242. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 243. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 244. |
Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017)
|
| 245. |
Short Term Depression, Presynaptic Inhib., Neuron Diversity Roles in Antennal Lobe (Wei & Lo 2020)
|
| 246. |
Short term plasticity at the cerebellar granule cell (Nieus et al. 2006)
|
| 247. |
Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
|
| 248. |
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
|
| 249. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 250. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
|
| 251. |
Single compartment: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
|
| 252. |
Single-cell comprehensive biophysical model of SN pars compacta (Muddapu & Chakravarthy 2021)
|
| 253. |
SN-MN neurons of Aplysia (Zhou et al. 2014)
|
| 254. |
Spatial constrains of GABAergic rheobase shift (Lombardi et al., accepted)
|
| 255. |
Spatial coupling tunes NMDA receptor responses via Ca2+ diffusion (Iacobucci and Popescu 2019)
|
| 256. |
Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)
|
| 257. |
Specific inhibition of dendritic plateau potential in striatal projection neurons (Du et al 2017)
|
| 258. |
Spike timing detection in different forms of LTD (Doi et al 2005)
|
| 259. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 260. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
|
| 261. |
Spine neck plasticity controls postsynaptic calcium signals (Grunditz et al. 2008)
|
| 262. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 263. |
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
|
| 264. |
STDP and BDNF in CA1 spines (Solinas et al. 2019)
|
| 265. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
|
| 266. |
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
|
| 267. |
Striatal FSI and SPN oscillation model (Chartove et al. 2020)
|
| 268. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 269. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
|
| 270. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
| 271. |
Striatal Spiny Projection Neuron (SPN) plasticity rule (Jedrzejewska-Szmek et al 2016)
|
| 272. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
|
| 273. |
Striatum D1 Striosome and Matrix Upstates (Prager et al., 2020)
|
| 274. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 275. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 276. |
Superior paraolivary nucleus neuron (Kopp-Scheinpflug et al. 2011)
|
| 277. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 278. |
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
|
| 279. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
| 280. |
Synaptic integration by MEC neurons (Justus et al. 2017)
|
| 281. |
Synaptic integration in tuft dendrites of layer 5 pyramidal neurons (Larkum et al. 2009)
|
| 282. |
Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)
|
| 283. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 284. |
Synaptic transmission at the calyx of Held (Graham et al 2001)
|
| 285. |
Synaptic vesicle fusion model (Church et al 2021)
|
| 286. |
Synthesis of spatial tuning functions from theta cell spike trains (Welday et al., 2011)
|
| 287. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 288. |
Thalamic neuron, zebra finch DLM: Integration of pallidal and cortical inputs (Goldberg et al. 2012)
|
| 289. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
| 290. |
Thalamocortical loop with delay for investigation of absence epilepsy (Liu et al 2019)
|
| 291. |
Thalamocortical augmenting response (Bazhenov et al 1998)
|
| 292. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
|
| 293. |
Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
|
| 294. |
The APP in C-terminal domain alters CA1 neuron firing (Pousinha et al 2019)
|
| 295. |
The role of glutamate in neuronal ion homeostasis: spreading depolarization (Hubel et al 2017)
|
| 296. |
Theoretical principles of DBS induced synaptic suppression (Farokhniaee & McIntyre 2019)
|
| 297. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 298. |
Tonic activation of extrasynaptic NMDA-R promotes bistability (Gall & Dupont 2020)
|
| 299. |
Two-neuron conductance-based model with dynamic ion concentrations to study NaV1.1 channel mutations
|
| 300. |
Using Strahler's analysis to reduce realistic models (Marasco et al, 2013)
|
| 301. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
|
| 302. |
VTA dopamine neuron (Tarfa, Evans, and Khaliq 2017)
|
| 303. |
Wang-Buzsaki Interneuron (Talathi et al., 2010)
|
