Circuits that contain the Model Concept : Long-term Synaptic Plasticity

(The model is used to investigate the mechanisms and/or effects of long-term synaptic plasticity.)
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    Models
1. A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
2. A basal ganglia model of aberrant learning (Ursino et al. 2018)
3. Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
4. Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
5. Biologically-plausible models for spatial navigation (Cannon et al 2003)
6. Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
7. Cerebellar memory consolidation model (Yamazaki et al. 2015)
8. Computing with neural synchrony (Brette 2012)
9. Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
10. Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
11. Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
12. Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
13. Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
14. Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
15. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
16. Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
17. Fast convergence of cerebellar learning (Luque et al. 2015)
18. First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
19. Formation of synfire chains (Jun and Jin 2007)
20. Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
21. Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
22. Learning spatial transformations through STDP (Davison, Frégnac 2006)
23. Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
24. Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
25. Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
26. Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
27. Neural model of two-interval discrimination (Machens et al 2005)
28. Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
29. Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
30. Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
31. Polychronization: Computation With Spikes (Izhikevich 2005)
32. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
33. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
34. Reward modulated STDP (Legenstein et al. 2008)
35. Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
36. Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
37. Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
38. Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
39. Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
40. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
41. STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
42. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)

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