Synaptic transmission at the calyx of Held (Graham et al 2001)

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Accession:19747
This model allows the user to investigate faciliation and depression in a complex Monte Carlo model of the calyx of Held, a giant synapse in the mammalian auditory system (Graham et al, 2001)
Reference:
1 . Graham BP, Wong AYC, Forsythe ID (2001) A computational model of synaptic transmission at the calyx of Held Neurocomputing 38:37-42
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): Glutamate;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Facilitation; Depression; Vestibular;
Implementer(s): Graham, Bruce [B.Graham at cs.stir.ac.uk];
Search NeuronDB for information about:  Glutamate; Glutamate;
/*----------------------------------------------------------------------------

    Calyx-of-Held to MNTB Model - Pre and Postsynaptic Structures
    -------------------------------------------------------------


B. Graham, Dept. of Computing Science & Maths, University of Stirling
(Contact: b.graham@cs.stir.ac.uk)
(previously IANC, Division of Informatics, University of Edinburgh)

CNS 2000 Version (19/11/02)
----------------------------------------------------------------------------*/


create AXON, MNTB
N=500       // number of release sites (same as RSIZE in coh2.mod)
objectvar coh       // presynaptic calyx of Held
objectvar c[1]      // postsynaptic receptor sites


//----------------------------------------------------------------------------
//  create AMPA receptors
//----------------------------------------------------------------------------

proc recampa() {
  objectvar c[N]            // postsynaptic receptor sites
  for i = 0, N-1 {
    c[i] = new AMPA()
    MNTB c[i].loc(0.5)          // assign postsynaptic compartment
    setpointer c[i].C, coh.T[i]     // connect presynaptic transmitter
    c[i].gmax = 500         // (pS) maximum conductance
  }
}


proc setgmax() {
  for i = 0, N-1 {c[i].gmax = $1}   // (pS) maximum conductance
}


//----------------------------------------------------------------------------
//  create pre and postsynaptic compartments and insert passive properties
//----------------------------------------------------------------------------

forall {
  diam=20
  L=20
  Ra=200
  insert pas
  g_pas=1/50000
  e_pas=v_init
}



//----------------------------------------------------------------------------
//  create presynaptic and insert postsynaptic mechansisms
//----------------------------------------------------------------------------

// calyx of Held
coh = new COH()
AXON coh.loc(0.5)

// postsynaptic receptors
recampa()

objectvar vcl  // voltage-clamp object

if (postAP == 1) {  // generate postsynaptic spikes
  access MNTB
  v_init=-66
  MNTB {
    insert BKDNaDR gnabar_BKDNaDR=0.025 gkbar_BKDNaDR=0.03
    g_pas=1/500
    e_pas=v_init
  }
} else {  // record postsynaptic currents
  // voltage clamp postsynaptic cell
  MNTB vcl = new VClamp(.5)
  vcl.dur[0] = 11000
  vcl.amp[0] = v_init
}

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