PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)

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Accession:239541
Stochastic simulation of a set of molecular reactions that implement late long-term potentiation (L-LTP). The model is able to account for a wide range of empirical results, including induction and maintenance of late-phase LTP, cellular memory reconsolidation and the effects of different pharmaceutical interventions.
References:
1 . Helfer P, Shultz TR (2018) Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking. PLoS Comput Biol 14:e1006147 [PubMed]
2 . Helfer P, Shultz TR (2018) Coupled feedback loops maintain synaptic long-term potentiation: A computational model arXiv
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Molecular Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: C or C++ program;
Model Concept(s): Long-term Synaptic Plasticity; Synaptic Plasticity;
Implementer(s): Helfer, Peter [peter.helfer at mail.mcgill.ca];
Search NeuronDB for information about:  AMPA; Glutamate;
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