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Effects of KIR current inactivation in NAc Medium Spiny Neurons (Steephen and Manchanda 2009)

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Accession:121060
"Inward rectifying potassium (KIR) currents in medium spiny (MS) neurons of nucleus accumbens inactivate significantly in ~40% of the neurons but not in the rest, which may lead to differences in input processing by these two groups. Using a 189-compartment computational model of the MS neuron, we investigate the influence of this property using injected current as well as spatiotemporally distributed synaptic inputs. Our study demonstrates that KIR current inactivation facilitates depolarization, firing frequency and firing onset in these neurons. ..."
Reference:
1 . Steephen JE, Manchanda R (2009) Differences in biophysical properties of nucleus accumbens medium spiny neurons emerging from inactivation of inward rectifying potassium currents. J Comput Neurosci 27:453-70 [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: Basal ganglia;
Cell Type(s): Nucleus accumbens spiny projection neuron;
Channel(s): I Na,p; I L high threshold; I T low threshold; I p,q; I A; I h; I K,Ca; I CAN; I A, slow; I Krp; I R;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s): Cav1.3 CACNA1D; Cav1.2 CACNA1C; IRK;
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Ion Channel Kinetics; Action Potentials; Synaptic Integration; Delay;
Implementer(s): Steephen, John Eric [johneric at duk.ac.in];
Search NeuronDB for information about:  AMPA; NMDA; Gaba; I Na,p; I L high threshold; I T low threshold; I p,q; I A; I h; I K,Ca; I CAN; I A, slow; I Krp; I R;
TITLE (N-type calcium current for MSP Neuron)

INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}

NEURON {
	SUFFIX CaN
	USEION ca READ cai,cao WRITE ica
	RANGE minf, mtau, hinf, htau, ica
	GLOBAL pmax
}

UNITS {
	(mA)	= (milliamp)
	(mV)	= (millivolt)
	(mM)	= (milli/liter)
        FARADAY = 96489 (coul)
        R       = 8.314 (volt-coul/degC)
}

PARAMETER {
	v		(mV)
	celsius	(degC)
	cai		(mM)
	cao		(mM)
	pmax = 1e-5	(cm/s)		
}

CONSTANT {
	a = 0.21 (1)
}
STATE {
	m h
}

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

BREAKPOINT { 
	SOLVE state METHOD cnexp : see http://www.neuron.yale.edu/phpBB/viewtopic.php?f=28&t=592
	ica = pmax*m*m*(a*h+(1-a))*ghk(v,cai,cao,2)
	: ica = pmax*m*m*(a*h+(1-a))*ghk(v,0.001,cao,2)
}

DERIVATIVE state {
	rates(v)
	m'= (minf-m) / mtau
	h'= (hinf-h) / htau
	}

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

FUNCTION ghk( v(mV), ci(mM), co(mM), z)  (millicoul/cm3) { LOCAL e, w
        w = v * (.001) * z*FARADAY / (R*(celsius+273.16))
        if (fabs(w)>1e-4) 
          { e = w / (exp(w)-1) }
        else : denominator is small -> Taylor series
          { e = 1-w/2 }
        ghk = - (.001) * z*FARADAY * (co-ci*exp(w)) * e
}

UNITSOFF

PROCEDURE rates(v(mV)) { LOCAL m_alpha, m_beta
	m_alpha = 0.1157*(v+17.19)/(exp((v+17.19)/15.22)-1)
	m_beta = 1.15*exp(v/23.82)
	mtau = 1/(m_alpha+m_beta)
	htau = 23.33
	minf = 1 / (1+exp((v+8.7)/-7.4))
	hinf = 1 / (1+exp((v+74.8)/6.5))
}

UNITSON 

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