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PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
 
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Model Information
Model File
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.
Reference:
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
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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
;
/
HelferShultz2018
gil
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