AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)

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"... cumulative experimental and theoretical data have demonstrated that long-term potentiation (LTP) and long-term depression (LTD) can promote compensatory alterations in non-stimulated synapses. In this work, we have developed a (MCELL) computational model of a (3D) spiny dendritic segment to investigate the role of AMPA receptor (AMPAR) trafficking during synaptic plasticity at specific synapses and its consequences for the populations of AMPAR at nearby synapses. Our results demonstrated that the mechanisms of AMPAR trafficking involved with LTP and LTD can promote heterosynaptic plasticity at non-stimulated synapses. These alterations are compensatory and arise from molecular competition. Moreover, the heterosynaptic changes observed in our model can modulate further activity-driven inductions of synaptic plasticity." The model requires an installed version of MCell and CellBlender.
1 . Antunes G, Simoes-de-Souza FM (2018) AMPA receptor trafficking and its role in heterosynaptic plasticity. Sci Rep 8:10349 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Receptor(s): AMPA;
Simulation Environment: MCell;
Model Concept(s): Synaptic Plasticity; Depression; Long-term Synaptic Plasticity; Detailed Neuronal Models;
Implementer(s): Antunes, Gabriela [gabri_antunes at];
Search NeuronDB for information about:  AMPA;
# AMPAR-trafficking-heterosynaptic-plasticity
Codes of the paper: AMPA receptor trafficking and its role in heterosynaptic plasticity (SREP-17-56929) 

Fig1: code for fig 1. We ran simulations with different amounts of anchors and different values of kb for 
the dissociation reaction (anchorAMPAR -> anchor + AMPAR).

Fig2_7: code used for figs 2-7. The initial 30 s of simulations should be used to allow the system to reach steady-state.
We removed this interval in the figs. 
To simulate LTP or LTD, just set the amount of enzLTP (or enzLTD) to be released using release_pattern 1 or 2.

Fig8_9: two-state model of LTP/LTD.We used the initial 40 s of simulations to allow the system to reach steady-state. 

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