Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018)

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Accession:239072
This code was used in the construction of the model developed in the paper. It is a modified version of the simulation developed by Postlethwaite et al. 2007 - for details of modifications refer to the main body of Kufel & Wojcik (2018).
Reference:
1 . Kufel DS, Wojcik GM (2018) Analytical modelling of temperature effects on an AMPA-type synapse. J Comput Neurosci 44:379-391 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: MCell; Python;
Model Concept(s): Methods; Temperature;
Implementer(s): Kufel, Dominik [dominic.kufel at gmail.com];
Search NeuronDB for information about:  AMPA; Glutamate;
/******************************************************/
/* A simple model of a single AZ at the calyx of Held */
/*                                                    */
/* Output of simulation results                       */
/*                                                    */
/* Matthias Hennig                                    */
/* mhennig@inf.ed.ac.uk                               */
/******************************************************/
/* source: https://senselab.med.yale.edu/ModelDB/showmodel.cshtml?model=85981 */
/* Modified by D.Kufel on 08/08/2016 */

REACTION_DATA_OUTPUT {

  /* step width of output */
  STEP = 1.0*dt

  /* count desensitisied receptors */
  { COUNT[AMPAR.D1,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_D1_simid.dat"
  { COUNT[AMPAR.D2,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_D2_simid.dat"
  { COUNT[AMPAR.D3,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_D3_simid.dat"
  { COUNT[AMPAR.D4,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_D4_simid.dat"

  /* count closed, unbound */
  { COUNT[AMPAR.C0,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_C0_simid.dat"
  { COUNT[AMPAR.C1,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_C1_simid.dat"
  { COUNT[AMPAR.C2,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_C2_simid.dat"
  { COUNT[AMPAR.C3,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_C3_simid.dat"
  { COUNT[AMPAR.C4,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_C4_simid.dat"

  /* count open receptors */
  { COUNT[AMPAR.O1,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_O1_simid.dat"
  { COUNT[AMPAR.O2,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_O2_simid.dat"
  { COUNT[AMPAR.O3,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_O3_simid.dat"
  { COUNT[AMPAR.O4,WORLD,FOR_EACH_TIME_STEP] } => "AMPAR_O4_simid.dat"

  /* count glutamate receptors above central PSD */
  { COUNT[Glu,coh.psd,FOR_EACH_TIME_STEP] } => "Glu_PSD_simid.dat"
  /* count glutamate receptors above a peripheral PSD */
  { COUNT[Glu,coh.psd2,FOR_EACH_TIME_STEP] } => "Glu_PSD2_simid.dat"

}


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