Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)

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Accession:223649
" ... We hypothesized that currents are grouped into distinct modules that shape specific neuronal characteristics or signatures, such as resting potential, sub-threshold oscillations, and spiking waveforms, for several classes of neurons. For such a grouping to occur, the currents within one module should have minimal functional interference with currents belonging to other modules. This condition is satisfied if the gating functions of currents in the same module are grouped together on the voltage axis; in contrast, such functions are segregated along the voltage axis for currents belonging to different modules. We tested this hypothesis using four published example case models and found it to be valid for these classes of neurons. ..."
Reference:
1 . Alturki A, Feng F, Nair A, Guntu V, Nair SS (2016) Distinct current modules shape cellular dynamics in model neurons. Neuroscience 334:309-331 [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: Hippocampus; Amygdala;
Cell Type(s): Abstract single compartment conductance based cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Activity Patterns; Oscillations; Methods; Olfaction;
Implementer(s):
/
AlturkiEtAl2016
1_Hemond
Original
readme.html *
cacumm.mod *
cagk.mod *
cal2.mod *
can2.mod *
cat.mod *
distr.mod *
h.mod *
KahpM95.mod *
kaprox.mod *
kd.mod *
kdrca1.mod *
km.mod *
na3n.mod *
naxn.mod *
ca3b-cell1zr.hoc *
ca3b-cell1zr.ses *
fixnseg.hoc *
geo-cell1zr.hoc *
mosinit_orig.hoc *
screenshot.jpg *
                            
TITLE T-calcium channel
: T-type calcium channel


UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	(molar) = (1/liter)
	(mM) = (millimolar)

	FARADAY = 96520 (coul)
	R = 8.3134 (joule/degC)
	KTOMV = .0853 (mV/degC)
}

PARAMETER {
	v (mV)
	celsius = 25	(degC)
	gcatbar=.003 (mho/cm2)
	cai = 50.e-6 (mM)
	cao = 2 (mM)
	q10 = 5
	mmin=0.2
	hmin=10
	a0h =0.015
	zetah = 3.5
	vhalfh = -75
	gmh=0.6	
	a0m =0.04
	zetam = 2
	vhalfm = -28
	gmm=0.1	
}


NEURON {
	SUFFIX cat
	USEION ca READ cai,cao WRITE ica
        RANGE gcatbar, ica, gcat
        GLOBAL hinf,minf,mtau,htau
}

STATE {
	m h 
}

ASSIGNED {
	ica (mA/cm2)
        gcat (mho/cm2)
	hinf
	htau
	minf
	mtau
}

INITIAL {
	rates(v)
	m = minf
	h = hinf
}

BREAKPOINT {
	SOLVE states METHOD cnexp
	gcat = gcatbar*m*m*h
	ica = gcat*ghk(v,cai,cao)

}

DERIVATIVE states {	: exact when v held constant
	rates(v)
	m' = (minf - m)/mtau
	h' = (hinf - h)/htau
}


FUNCTION ghk(v(mV), ci(mM), co(mM)) (mV) {
        LOCAL nu,f

        f = KTF(celsius)/2
        nu = v/f
        ghk=-f*(1. - (ci/co)*exp(nu))*efun(nu)
}

FUNCTION KTF(celsius (DegC)) (mV) {
        KTF = ((25./293.15)*(celsius + 273.15))
}


FUNCTION efun(z) {
	if (fabs(z) < 1e-4) {
		efun = 1 - z/2
	}else{
		efun = z/(exp(z) - 1)
	}
}

FUNCTION alph(v(mV)) {
  alph = exp(0.0378*zetah*(v-vhalfh)) 
}

FUNCTION beth(v(mV)) {
  beth = exp(0.0378*zetah*gmh*(v-vhalfh)) 
}

FUNCTION alpmt(v(mV)) {
  alpmt = exp(0.0378*zetam*(v-vhalfm)) 
}

FUNCTION betmt(v(mV)) {
  betmt = exp(0.0378*zetam*gmm*(v-vhalfm)) 
}

PROCEDURE rates(v (mV)) { :callable from hoc
	LOCAL a,b, qt
        qt=q10^((celsius-25)/10)

	a = 0.2*(-1.0*v+19.26)/(exp((-1.0*v+19.26)/10.0)-1.0)
	b = 0.009*exp(-v/22.03)
	minf = a/(a+b)
	mtau = betmt(v)/(qt*a0m*(1+alpmt(v)))
	if (mtau<mmin) {mtau=mmin}

	a = 1.e-6*exp(-v/16.26)
	b = 1/(exp((-v+29.79)/10.)+1.)
	hinf = a/(a+b)
	htau = beth(v)/(a0h*(1+alph(v)))
	if (htau<hmin) {htau=hmin}
}


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