Circuits that contain the Model Concept : Synaptic Plasticity

(The model is used to investigate the mechanisms and/or effects of synaptic plasticity.)
Re-display model names with descriptions
1. 3D model of the olfactory bulb (Migliore et al. 2014)
2. 3D olfactory bulb: operators (Migliore et al, 2015)
3. A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
4. A basal ganglia model of aberrant learning (Ursino et al. 2018)
5. A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
6. A network model of tail withdrawal in Aplysia (White et al 1993)
7. ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
8. Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
9. Biologically-plausible models for spatial navigation (Cannon et al 2003)
10. Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
11. CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
12. Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
13. Cerebellar memory consolidation model (Yamazaki et al. 2015)
14. Computing with neural synchrony (Brette 2012)
15. Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
16. Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
17. Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
18. Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
19. Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
20. Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
21. Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
22. Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
23. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
24. Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
25. Fast convergence of cerebellar learning (Luque et al. 2015)
26. First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
27. Formation of synfire chains (Jun and Jin 2007)
28. Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
29. Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
30. Grid cells from place cells (Castro & Aguiar, 2014)
31. Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
32. Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2017)
33. Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
34. Large scale model of the olfactory bulb (Yu et al., 2013)
35. Learning spatial transformations through STDP (Davison, Frégnac 2006)
36. Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
37. Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
38. Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
39. Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
40. Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
41. Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
42. Neural model of two-interval discrimination (Machens et al 2005)
43. Olfactory bulb cluster formation (Migliore et al. 2010)
44. Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
45. Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
46. Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
47. Polychronization: Computation With Spikes (Izhikevich 2005)
48. Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
49. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
50. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
51. Reward modulated STDP (Legenstein et al. 2008)
52. Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
53. Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
54. Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
55. Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
56. Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
57. Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
58. Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
59. Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
60. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
61. STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
62. Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
63. Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
64. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
65. Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)

Re-display model names with descriptions