/*----------------------------------------------------------------------------
demo file for kinetic synapse mechanism
---------------------------------------
Kinetic model for the release of transmitter. A presynaptic action
potential is elicited by injection of a 0.1 nA current pulse lasting
2 ms in the presynaptic terminal. The presynaptic action potential
induces an increase in intracellular calcium (cai) due to the presence
of a high-threshold calcium current (ica). Calcium then binds to a
calcium-binding protein ("fusion factor", FA) that binds to the docked
vesicles (VA) and triggers the release of transmitter (T).
See details in:
Destexhe, A., Mainen, Z.F. and Sejnowski, T.J. Synthesis of models for
excitable membranes, synaptic transmission and neuromodulation using a
common kinetic formalism, Journal of Computational Neuroscience 1:
195-230, 1994.
See also:
Destexhe, A., Mainen, Z.F. and Sejnowski, T.J. Kinetic models of
synaptic transmission. In: Methods in Neuronal Modeling (2nd edition;
edited by Koch, C. and Segev, I.), MIT press, Cambridge, 1998, pp 1-25.
(electronic copy available at http://cns.iaf.cnrs-gif.fr)
Written by Alain Destexhe, 1993; modified 1996
----------------------------------------------------------------------------*/
//----------------------------------------------------------------------------
// load and define general graphical procedures
//----------------------------------------------------------------------------
// xopen("$(NEURONHOME)/lib/hoc/stdrun.hoc")
objectvar g[20] // max 20 graphs
ngraph = 0
proc addgraph() { local ii // define subroutine to add a new graph
// addgraph("variable", minvalue, maxvalue)
ngraph = ngraph+1
ii = ngraph-1
g[ii] = new Graph()
g[ii].size(0,tstop,$2,$3)
// g[ii].view(0,$2,tstop,$3-$2,0,0,600,100) // only for printing
g[ii].xaxis()
g[ii].yaxis()
g[ii].addvar($s1,1,0)
g[ii].save_name("graphList[0].")
graphList[0].append(g[ii])
}
if(ismenu==0) {
nrnmainmenu() // create main menu
nrncontrolmenu() // crate control menu
ismenu=1
}
//----------------------------------------------------------------------------
// general parameters
//----------------------------------------------------------------------------
dt=0.025 // ModelDB administrator converges GABAb simple: rather than 0.01
tstop = 20
runStopAt = tstop
steps_per_ms = 1/dt
celsius = 36
v_init = -70
//----------------------------------------------------------------------------
// create compartments and insert passive properties
//----------------------------------------------------------------------------
create PRE
forall {
diam=10
L=10
insert pas
g_pas=1/5000
e_pas=v_init
}
//----------------------------------------------------------------------------
// insert presynaptic mechanisms
//----------------------------------------------------------------------------
access PRE // insert Hodgk-Hux. Na+ and K+ currents for spikes
insert hh2
ek = -90
gnabar_hh2 = 0.1
gkbar_hh2 = 0.03
objectvar stim // insert current injection
PRE stim = new IClamp(.5)
// note: for older versions of neuron, use PulseStim instead of IClamp
stim.del = 5
stim.dur = 2
stim.amp = 0.1
insert caL // HV Ca++ channel for transmitter release
p_caL=0.0002
q_caL=10
Ra_caL=1.6
Rb_caL=1.6
insert rel // transmitter release
Ves_rel = 0.01 // conc of vesicles (mM)
Fmax_rel = 0.001 // tot conc of proteins (F and V) (mM)
b_rel = 1e16 // rate cst for Ca++ binding to fusion factor
u_rel = 0.1 // rate cst for Ca++ unbinding
k1_rel = 1000 // rate cst for activation of vesicle
k2_rel = 0.1 // rate cst for deactivation of vesicle
k3_rel = 4 // rate cst for exocytosis
nt_rel = 10000 // number of transmitter molecule per vesicle
kh_rel = 10 // transmitter hydolysis constant
// cad is now incorporated into rel
// insert rel // Ca++ ATPase pump
kd_rel = 1e-5
kt_rel = 1e-3 // fast Ca++ removal
depth_rel = 1
taur_rel = 1e10
//----------------------------------------------------------------------------
// add graphs
//----------------------------------------------------------------------------
addgraph("PRE.v(0.5)",-90,40)
addgraph("PRE.ica(0.5)",-0.1,0)
addgraph("PRE.cai(0.5)",-1e-6,0.00015)
addgraph("PRE.FA_rel(0.5)",0.,0.0003)
addgraph("PRE.VA_rel(0.5)",0.,Fmax_rel)
addgraph("PRE.T_rel(0.5)",0,1.5)