Model Type: Synapse

  1. A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
  2. A biophysical model of vestibular ganglion neurons (Hight & Kalluri 2016, Ventura & Kalluri 2018)
  3. A computational approach/model to explore NMDA receptors functions (Keller et al 2017)
  4. A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
  5. A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
  6. A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
  7. A dual-Ca2+-sensor model for neurotransmitter release in a central synapse (Sun et al. 2007)
  8. A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
  9. A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity (Nakano et al. 2010)
  10. A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
  11. A mathematical model of a neurovascular unit (Dormanns et al 2015, 2016) (Farrs & David 2011)
  12. A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
  13. A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
  14. A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)
  15. A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
  16. A model of the femur-tibia control system in stick insects (Stein et al. 2008)
  17. A model of unitary responses from A/C and PP synapses in CA3 pyramidal cells (Baker et al. 2010)
  18. A model of working memory for encoding multiple items (Ursino et al, in press)
  19. A multiscale predictive digital twin for neurocardiac modulation (Yang et al., 2023)
  20. A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
  21. A state-space model to quantify common input to motor neurons (Feeney et al 2017)
  22. A synapse model for developing somatosensory cortex (Manninen et al 2020)
  23. Action potential-evoked Ca2+ signals in CA1 pyramidal cell presynaptic terminals (Hamid et al 2019)
  24. Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
  25. Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017)
  26. Active zone model of Ca2+ secretion coupling (Keller et al. 2015)
  27. Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015)
  28. Ambient glutamate shapes AMPA receptor responses to simulated transients (Balmer et al. 2021)
  29. AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)
  30. Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
  31. Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018)
  32. Application of a common kinetic formalism for synaptic models (Destexhe et al 1994)
  33. BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
  34. Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
  35. Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020)
  36. Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)
  37. Biophysically detailed model of somatosensory thalamocortical circuit
  38. Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
  39. CA1 pyr cell: phenomenological NMDAR-based model of synaptic plasticity (Dainauskas et al 2023)
  40. CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
  41. CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
  42. CA1 pyramidal neuron: Ih current (Migliore et al. 2012)
  43. CA1 pyramidal neuron: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018)
  44. CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018)
  45. CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
  46. CA1 pyramidal neurons: effects of Alzheimer (Culmone and Migliore 2012)
  47. CA1 pyramidal populations after high frequency head impacts (Chapman, et al., 2023)
  48. Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
  49. CA3 pyramidal neuron (Safiulina et al. 2010)
  50. Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
  51. Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
  52. Calyx of Held, short term plasticity (Yang Z et al. 2009)
  53. CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007)
  54. Cellular and Synaptic Mechanisms Differentiate Mitral & Superficial Tufted Cells (Jones et al 2020)
  55. Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
  56. Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
  57. Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020)
  58. Cl- homeostasis in immature hippocampal CA3 neurons (Kolbaev et al 2020)
  59. Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007)
  60. Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021)
  61. Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019)
  62. Compartmentalization of GABAergic inhibition by dendritic spines (Chiu et al. 2013)
  63. Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
  64. Computational modeling of gephyrin-dependent inhibitory transsynaptic signaling (Lupascu et al 2020)
  65. Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017)
  66. Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
  67. Dendritic spine geometry, spine apparatus organization: spatiotemporal Ca dynamics (Bell et al 2019)
  68. Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007)
  69. Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
  70. Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
  71. Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
  72. Distance-dependent synaptic strength in CA1 pyramidal neurons (Menon et al. 2013)
  73. Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019)
  74. Dynamical assessment of ion channels during in vivo-like states (Guet-McCreight & Skinner 2020)
  75. Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016)
  76. Earthworm medial giant fiber conduction velocity across electrical synapses (Heller, Crisp 2016)
  77. Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
  78. Effects of neural morphology on global and focal NMDA-spikes (Poleg-Polsky 2015)
  79. Efficient Method for Computing Synaptic Conductance (Destexhe et al 1994)
  80. Electrical compartmentalization in neurons (Wybo et al 2019)
  81. Electrotonic transform and EPSCs for WT and Q175+/- spiny projection neurons (Goodliffe et al 2018)
  82. Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
  83. Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
  84. Energy-efficient information transfer at thalamocortical synapses (Harris et al 2019)
  85. Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
  86. Factors contribution to GDP-induced [Cl-]i transients (Lombardi et al 2019)
  87. Fast AMPA receptor signaling (Geiger et al 1997)
  88. Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)
  89. FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021)
  90. Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019)
  91. Functional impact of dendritic branch point morphology (Ferrante et al., 2013)
  92. Gamma genesis in the basolateral amygdala (Feng et al 2019)
  93. Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
  94. Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
  95. Generalized Carnevale-Hines algorithm (van Elburg and van Ooyen 2009)
  96. Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010)
  97. Glutamate diffusion and AMPA receptor activation in the cerebellar glomerulus (Saftenku 2005)
  98. Grid cells from place cells (Castro & Aguiar, 2014)
  99. Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017)
  100. Hippocampal Mossy Fiber bouton: presynaptic KV7 channel function (Martinello et al 2019)
  101. Hippocampal O-LM interneurons and hippocampo-septal neurons with simplified and detailed biophysics (Takács et al, 2024)
  102. Hippocampal synaptic plasticity in Alzheimer's disease (Dainauskas et al., 2023)
  103. Hippocampus CA1 Interneuron Specific 3 (IS3) in vivo-like virtual NN simulations (Luo et al 2020)
  104. Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011)
  105. Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
  106. Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b)
  107. How BK and SK channels benefit early vision (Li X et al 2019)
  108. Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
  109. Hyperpolarization-activated inward current and dynamic range of electrical synapse (Stein et al '22)
  110. Impact of dendritic atrophy on intrinsic and synaptic excitability (Narayanan & Chattarji, 2010)
  111. Information transmission in cerebellar granule cell models (Rossert et al. 2014)
  112. Inhibitory network bistability explains increased activity prior to seizure onset (Rich et al 2020)
  113. Inner hair cell auditory nerve synapse model (Deligeorges, Mountain 1997)
  114. Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
  115. Kesten and Langevin synaptic size fluctuation simulator (Hazan & Ziv 2020)
  116. Kinetic NMDA receptor model (Kampa et al 2004)
  117. Kinetic synaptic models applicable to building networks (Destexhe et al 1998)
  118. LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017)
  119. LGMD - ON excitation to dendritic field C
  120. Library of biophysically detailed striatal projection neurons (Lindroos and Hellgren Kotaleski 2020)
  121. Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
  122. Long-term adaptation with power-law dynamics (Zilany et al. 2009)
  123. Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)
  124. LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
  125. Mathematical model of behavioral time scale plasticity (BTSP) of place fields (Shouval & Cone 2021)
  126. Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
  127. Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
  128. Mesoscopic model of spontaneous synaptic size fluctuations (Hazan & Ziv 2020)
  129. Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
  130. Model of CA1 activity during working memory task (Spera et al. 2016)
  131. Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018)
  132. Model of working memory based on negative derivative feedback (Lim and Goldman, 2013)
  133. Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
  134. Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015)
  135. Models analysis for auditory-nerve synapse (Zhang and Carney 2005)
  136. Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
  137. Multiple mechanisms of short term plasticity at the calyx of Held (Hennig et al. 2008)
  138. Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
  139. Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
  140. Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
  141. NeuroMatic: software for acquisition, analysis and simulation of e-phys data (Rothman & Silver 2018)
  142. NMDA receptor saturation (Chen et al 2001)
  143. Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
  144. Norns - Neural Network Studio (Visser & Van Gils 2014)
  145. Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
  146. Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017)
  147. Optimal synaptic assignment for locomotory behavior in C. elegans (Rakowski & Karbowski 2017)
  148. Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
  149. PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
  150. Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013)
  151. Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
  152. Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009)
  153. QIF method to estimate synaptic conductances (Vich et al 2017)
  154. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
  155. Rescue of plasticity by a computationally predicted protocol (Liu et al. 2013)
  156. Response of AMPA receptor kinetic model to glutamate release distance (Allam et al., 2015)
  157. Retinal ganglion cells responses and activity (Tsai et al 2012, Guo et al 2016)
  158. Ribbon Synapse (Sikora et al 2005)
  159. Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
  160. Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
  161. Short term plasticity at the cerebellar granule cell (Nieus et al. 2006)
  162. Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
  163. Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
  164. Signaling pathways underlying LTP in hippocampal CA1 pyramidal cells (Jedrzejewska-Szmek et al 2017)
  165. SN-MN neurons of Aplysia (Zhou et al. 2014)
  166. Sound-evoked activity in peripheral axons of type I spiral ganglion neurons (Budak et al. 2021)
  167. Spatial constrains of GABAergic rheobase shift (Lombardi et al., 2021)
  168. Spatial coupling tunes NMDA receptor responses via Ca2+ diffusion (Iacobucci and Popescu 2019)
  169. Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)
  170. Species-specific wiring for direction selectivity in the mammalian retina (Ding et al 2016)
  171. Spike timing detection in different forms of LTD (Doi et al 2005)
  172. Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
  173. Spine fusion and branching affects synaptic response (Rusakov et al 1996, 1997)
  174. Spine neck plasticity controls postsynaptic calcium signals (Grunditz et al. 2008)
  175. Spiny Projection Neuron Ca2+ based plasticity is robust to in vivo spike train (Dorman&Blackwell)
  176. STDP and BDNF in CA1 spines (Solinas et al. 2019)
  177. STDP and NMDAR Subunits (Gerkin et al. 2007)
  178. Steady-state Vm distribution of neurons subject to synaptic noise (Rudolph, Destexhe 2005)
  179. Stochastic ion channels and neuronal morphology (Cannon et al. 2010)
  180. Stochastic LTP/LTD conditioning of a synapse (Migliore and Lansky 1999)
  181. Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
  182. Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
  183. Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
  184. Survey of electrically evoked responses in the retina (Tsai et al 2017)
  185. Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
  186. Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
  187. Synaptic Impairment, Robustness of Excitatory NNs w/ Different Topologies (Mirzakhalili et al 2017)
  188. Synaptic integration in tuft dendrites of layer 5 pyramidal neurons (Larkum et al. 2009)
  189. Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)
  190. Synaptic strengths are critical in creating the proper output phasing in a CPG (Gunay et al 2019)
  191. Synaptic transmission at the calyx of Held (Graham et al 2001)
  192. Synaptic vesicle fusion model (Church et al 2021)
  193. Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
  194. Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
  195. The neocortical microcircuit collaboration portal (Markram et al. 2015)
  196. Theoretical principles of DBS induced synaptic suppression (Farokhniaee & McIntyre 2019)
  197. Two forms of synaptic depression by neuromodulation of presynaptic Ca2+ channels (Burke et al 2018)
  198. Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
  199. Vesicular pool simulations of synaptic depression (Aristizabal and Glavinovic 2004)
  200. Voltage-based STDP synapse (Clopath et al. 2010)
  201. Wang-Buzsaki Interneuron (Talathi et al., 2010)
Top authors for Synapse:
Top concepts studied with Synapse:
Top neurons studied with Synapse:
Top currents studied with Synapse:
Top references cited by these models:
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.