Model Concept: Long-term Synaptic Plasticity

The model is used to investigate the mechanisms and/or effects of long-term synaptic plasticity.


  1. A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
  2. A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
  3. A basal ganglia model of aberrant learning (Ursino et al. 2018)
  4. A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
  5. A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
  6. AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)
  7. Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
  8. Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020)
  9. Biologically-plausible models for spatial navigation (Cannon et al 2003)
  10. Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006)
  11. Borderline Personality Disorder (Berdahl, 2010)
  12. CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
  13. CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
  14. CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
  15. Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
  16. CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007)
  17. Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
  18. Cerebellar memory consolidation model (Yamazaki et al. 2015)
  19. Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
  20. Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
  21. Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
  22. Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
  23. Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
  24. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
  25. Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
  26. Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019)
  27. Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
  28. Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011)
  29. Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
  30. Inhibitory microcircuits for top-down plasticity of sensory representations (Wilmes & Clopath 2019)
  31. Kinetic NMDA receptor model (Kampa et al 2004)
  32. LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
  33. Learning spatial transformations through STDP (Davison, Frégnac 2006)
  34. Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
  35. Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018)
  36. Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
  37. Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018)
  38. Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015)
  39. Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011)
  40. Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
  41. Opposing roles for Na+/Ca2+ exchange and Ca2+-activated K+ currents during STDP (O`Halloran 2020)
  42. Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
  43. Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
  44. PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
  45. Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
  46. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
  47. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
  48. Reproducing infra-slow oscillations with dopaminergic modulation (Kobayashi et al 2017)
  49. Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
  50. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
  51. STDP and BDNF in CA1 spines (Solinas et al. 2019)
  52. STDP and NMDAR Subunits (Gerkin et al. 2007)
  53. STDP and oscillations produce phase-locking (Muller et al. 2011)
  54. STDP depends on dendritic synapse location (Letzkus et al. 2006)
  55. Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
  56. Signaling pathways underlying LTP in hippocampal CA1 pyramidal cells (Jedrzejewska-Szmek et al 2017)
  57. Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016)
  58. Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
  59. Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
  60. Spine fusion and branching affects synaptic response (Rusakov et al 1996, 1997)
  61. Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)
  62. Stochastic LTP/LTD conditioning of a synapse (Migliore and Lansky 1999)
  63. Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
  64. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
  65. Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
  66. Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
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See also: