Sympathetic Preganglionic Neurone (Briant et al. 2014)

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Accession:151482
A model of a sympathetic preganglionic neurone of muscle vasoconstrictor-type.
Reference:
1 . Briant LJ, Stalbovskiy AO, Nolan MF, Champneys AR, Pickering AE (2014) Increased intrinsic excitability of muscle vasoconstrictor preganglionic neurons may contribute to the elevated sympathetic activity in hypertensive rats. J Neurophysiol 112:2756-2778 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Spinal cord L motor neuron alpha; Spinal cord sympathetic preganglionic neuron;
Channel(s): I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Action Potential Initiation; Activity Patterns; Bursting; Ion Channel Kinetics; Temporal Pattern Generation; Parameter Fitting; Action Potentials; Parameter sensitivity;
Implementer(s):
Search NeuronDB for information about:  Spinal cord L motor neuron alpha; I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
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SPN_ModelDB
hoc_code
MATLAB_code
README.txt
borgka.mod
borgkdr.mod
cadifus2.mod
cagk.mod *
cal2.mod *
can2.mod
gap.mod
gapcalcium.mod
kadist.mod *
kahp.mod *
kaprox.mod *
na3.mod
ActivationProtocol_GKA.dat
ActivationProtocol_IA.dat
ActivationProtocol_V.dat
Cell.hoc
ClampFiddy.dat
ClampFiddy_vhalfm.dat
ClampFiddy_ZetaK.dat
ClampFiddy_ZetaM.dat
ClampHundred.dat
ClampHundred_vhalfm.dat
ClampHundred_ZetaK.dat
ClampHundred_ZetaM.dat
CurrentMagnitude_GKA.dat
CurrentMagnitude_IA.dat
CurrentMagnitude_V.dat
EPSCs_Filtered.txt
InactivationProtocol_GKA.dat
InactivationProtocol_IA.dat
InactivationProtocol_V.dat
init.hoc
mosinit.hoc *
                            
TITLE Borg-Graham type generic K-AHP channel

UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)

}

PARAMETER {
	celsius 	(degC)
	gkahpbar=.003 (mho/cm2)
        n=4
        cai=50.e-6  (mM)
        a0=1.3e13	(/ms-mM-mM-mM-mM)	:b0/(1.4e-4^4)
        b0=.5e-2 	(/ms)			:0.5/(0.100e3)
        v       (mV)
        ek      (mV)
}


NEURON {
	SUFFIX kahp
	USEION k READ ek WRITE ik
        USEION ca READ cai
        RANGE gkahpbar,gkahp
        GLOBAL inf,tau
}

STATE {
	w
}

ASSIGNED {
	ik (mA/cm2)
        gkahp  (mho/cm2)
        inf
        tau
}

INITIAL {
        rate(cai)
        w=inf
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	gkahp = gkahpbar*w
	ik = gkahp*(v-ek)

}

FUNCTION alp(cai (mM)) {
  alp = a0*cai^n
}

DERIVATIVE state {     : exact when v held constant; integrates over dt step
        rate(cai)
        w' = (inf - w)/tau
}

PROCEDURE rate(cai (mM)) { :callable from hoc
        LOCAL a
        a = alp(cai)
        tau = 1/(a + b0)
        inf = a*tau
}
















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