A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)

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Accession:145836
These are two or triple-exponential models of the voltage-dependent NMDA receptors. Conductance of these receptors increase voltage-dependently with a "Hodgkin and Huxley-type" gating style that is also depending on glutamate-binding. Time course of the gating of these receptors in response to glutamate are also changing voltage-dependently. Temperature sensitivity and desensitization of these receptor are also taken into account. Three previous kinetic models that are able to simulate the voltage-dependence of the NMDARs are also imported to the NMODL. These models are not temperature sensitive. These models are compatible with the "event delivery system" of NEURON. Parameters that are reported in our paper are applicable to CA1 pyramidal cell dendrites.
Reference:
1 . Moradi K, Moradi K, Ganjkhani M, Hajihasani M, Gharibzadeh S, Kaka G (2013) A fast model of voltage-dependent NMDA receptors J Comput Neurosci 34(3):521-531 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism: Neocortex; Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal cell;
Channel(s):
Gap Junctions:
Receptor(s): NMDA; Glutamate;
Gene(s): NR2B GRIN2B;
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Ion Channel Kinetics; Simplified Models; Long-term Synaptic Plasticity; Methods;
Implementer(s): Moradi, Keivan [k.moradi at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; NMDA; Glutamate; Glutamate;
This is the readme for the model associated with the paper:

Moradi K, Moradi K, Ganjkhani M, Hajihasani M, Gharibzadeh S, Kaka G
(2013) A fast model of voltage-dependent NMDA receptors 
J Comput Neurosci 34(3):521-531

This is the code that was used by the paper authors.

A sample NMDA model from Exp01-Exp2NMDA-Fitting.hoc is loaded into the
NEURON simulator in the auto-launch demo.

20140305 SynNMDA16.mod and SynNMDA16_2.mod were updated to work with a
new version of NEURON (hg branch 1027) which also might fix potential
initialization problems.  The demo results are unchanged.

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