Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)

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Accession:114047
2 cell network of hippocampal basket cells connected by gap junctions. Paper explores how distal gap junctions and active dendrites can tune network dynamics.
Reference:
1 . Saraga F, Ng L, Skinner FK (2006) Distal gap junctions and active dendrites can tune network dynamics. J Neurophysiol 95:1669-82 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 basket cell; Abstract Wang-Buzsaki neuron;
Channel(s): I Na,t; I K;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Oscillations; Active Dendrites; Action Potentials; Electrotonus; Delay;
Implementer(s): Saraga, Fernanda [Fernanda.Saraga at utoronto.ca];
Search NeuronDB for information about:  I Na,t; I K; Gaba;
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Basketcell
README.HTML
gap.mod
hh.mod
cella.hoc
cellb.hoc
default_init.hoc
extras.hoc
fig6.hoc
freq.hoc
gapdist.hoc
gapdist.ses
gapmid.hoc
gapmid.ses
gapprox.hoc
gapprox.ses
init.hoc
initdist.hoc
initmid.hoc
initprox.hoc
maxvalue.hoc
minvalue.hoc
mosinit.hoc *
phaselag.hoc
prog.hoc
screenshot.jpg
state.hoc
state_init0.hoc
state_init1.hoc
xyvalues.hoc
                            
TITLE Sodium, Potassium and leak channels for basket cell model
 
COMMENT
The parameters for these channels are taken from Wang and Buzsaki's "Gamma 
Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network 
Model", J. Neurosci. 16:6402-6413, 1996.  Passive properties may have to 
be adjusted.  Dendrities will be kept passive for now.
ENDCOMMENT
 
UNITS {
        (mA) = (milliamp)
        (mV) = (millivolt)
}
 
NEURON {
        SUFFIX HH
        USEION na READ ena WRITE ina
        USEION k READ ek WRITE ik
        RANGE gnabar, gkbar
        GLOBAL minf, hinf, ninf, mexp, hexp, nexp
}
 
PARAMETER {
        v (mV)
        celsius = 5 (degC)
        dt (ms)
        gnabar = .184 (mho/cm2)
        ena = 55 (mV)
        gkbar = .14 (mho/cm2)
        ek = -90 (mV)
}
 
STATE {
        m h n
}
 
ASSIGNED {
        ina (mA/cm2)
        ik (mA/cm2)
        minf hinf ninf mexp hexp nexp
}
 
BREAKPOINT {
        SOLVE states
        ina = gnabar*m*m*m*h*(v - ena)
        ik = gkbar*n*n*n*n*(v - ek)      
}
 
UNITSOFF
 
INITIAL {
	rates(v)
	m = minf
	h = hinf
	n = ninf
}

PROCEDURE states() {  :Computes state variables m, h, and n 
        rates(v)      :             at the current v and dt.
        m = m + mexp*(minf-m)
        h = h + hexp*(hinf-h)
        n = n + nexp*(ninf-n)
}
 
PROCEDURE rates(v) {  :Computes rate and other constants at current v.
                      :Call once from HOC to initialize inf at resting v.
        LOCAL  q10, tinc, alpha, beta, sum
        TABLE minf, mexp, hinf, hexp, ninf, nexp DEPEND dt, celsius FROM -100 TO 100 WITH 200
        q10 = 3^((celsius - 6.3)/10)
        tinc = -dt * q10
                :"m" sodium activation system
        alpha = .1 * vtrap(-(v+35),10)
        beta =  4 * exp(-(v+60)/18)
        sum = alpha + beta
        minf = alpha/sum
        mexp = 1 - exp(tinc*sum)
                :"h" sodium inactivation system
        alpha = .07 * exp(-(v+58)/20)
        beta = 1 / (exp(-(v+28)/10) + 1)
        sum = alpha + beta
        hinf = alpha/sum
        hexp = 1 - exp(tinc*sum)
                :"n" potassium activation system
        alpha = .01*vtrap(-(v+34),10) 
        beta = .125*exp(-(v+44)/80)
        sum = alpha + beta
        ninf = alpha/sum
        nexp = 1 - exp(tinc*sum)
}
 
FUNCTION vtrap(x,y) {  :Traps for 0 in denominator of rate eqns.
        if (fabs(x/y) < 1e-6) {
                vtrap = y*(1 - x/y/2)
        }else{
                vtrap = x/(exp(x/y) - 1)
        }
}
 
UNITSON

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