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.
Model Type: Synapse; Molecular Network
Region(s) or Organism(s): Hippocampus
Receptors: AMPA
Transmitters: Glutamate
Model Concept(s): Long-term Synaptic Plasticity; Synaptic Plasticity
Simulation Environment: C or C++ program
Implementer(s): Helfer, Peter [peter.helfer at mail.mcgill.ca]
References:
Helfer P, Shultz TR. (2018). Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking. PLoS computational biology. 14 [PubMed]
Helfer P, Shultz TR. (2018). Coupled feedback loops maintain synaptic long-term potentiation: A computational model arXiv.