Library of biophysically detailed striatal projection neurons (Lindroos and Hellgren Kotaleski 2020)

 Download zip file 
Help downloading and running models
Accession:266775
Library of compartmentalized models used to investigate dendritic integration in striatal projection neurons under neuromodulation.
Reference:
1 . Lindroos R, Hellgren Kotaleski J (2020) Predicting complex spikes in striatal projection neurons of the direct pathway following neuromodulation by acetylcholine and dopamine. Eur J Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism: Striatum; Hippocampus; Basal ganglia;
Cell Type(s): Neostriatum medium spiny direct pathway GABA cell; Neostriatum medium spiny indirect pathway GABA cell; Striatal projection neuron;
Channel(s): I M; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Acetylcholine; Dopamine;
Simulation Environment: NEURON; Python;
Model Concept(s): Active Dendrites; Detailed Neuronal Models; Neuromodulation; Synaptic Plasticity; Activity Patterns; Soma-dendrite cross-talk;
Implementer(s): Lindroos, Robert [robert.lindroos at ki.se]; Filipovic, Marko;
Search NeuronDB for information about:  Neostriatum medium spiny direct pathway GABA cell; Neostriatum medium spiny indirect pathway GABA cell; I M; I Potassium; Acetylcholine; Dopamine;
/
lib
mechanisms
single
bk.mod *
cadyn.mod *
cal12.mod
cal13.mod
caldyn.mod *
can.mod
car.mod
cav32.mod
cav33.mod
gaba.mod
glutamate.mod
Im.mod *
kaf.mod
kas.mod
kdr.mod *
kir.mod
naf.mod
sk.mod
vecevent.mod *
                            
COMMENT
Updated Exp2Syn synapse including a modulation function.

Defaul values of parameters (time constants etc) set to match synaptic channels in 
striatal medium spiny neurons, following Wolf et al., 2007 -> Galaretta 1997

    modulation = 1 + damod*( (maxMod-1)*level + (max2-1)*lev2 )

two substrates can modulate independently, e.g. DA and ACh

Robert . Lindroos @ ki . se

original comment:
________________
Two state kinetic scheme synapse described by rise time tau1,
and decay time constant tau2. The normalized peak condunductance is 1.
Decay time MUST be greater than rise time.

The solution of A->G->bath with rate constants 1/tau1 and 1/tau2 is
 A = a*exp(-t/tau1) and
 G = a*tau2/(tau2-tau1)*(-exp(-t/tau1) + exp(-t/tau2))
	where tau1 < tau2

If tau2-tau1 -> 0 then we have a alphasynapse.
and if tau1 -> 0 then we have just single exponential decay.

The factor is evaluated in the
initial block such that an event of weight 1 generates a
peak conductance of 1.

Because the solution is a sum of exponentials, the
coupled equations can be solved as a pair of independent equations
by the more efficient cnexp method.

ENDCOMMENT


NEURON {
	POINT_PROCESS gaba
	RANGE tau1, tau2
	RANGE erev, g, i, q
    RANGE damod, maxMod, level, max2, lev2
	
	NONSPECIFIC_CURRENT i
}


UNITS {
	(nA) = (nanoamp)
	(mV) = (millivolt)
	(uS) = (microsiemens)
}


PARAMETER {
	erev    = -60.0     (mV)
	tau1    =   0.5     (ms)    : wolf et al., 2007 -> Galaretta 1997
    tau2    =   7.5     (ms)    : wolf et al., 2007 -> Galaretta 1997
    q       =   2       : approx room temp 
    
    damod       = 0
    maxMod      = 1
    max2        = 1
    level       = 0
    lev2        = 0
}


ASSIGNED {
	v (mV)
	i (nA)
	g (uS)
	factor
}


STATE {
	A (uS)
	B (uS)
}


INITIAL {
	LOCAL tp
	if (tau1/tau2 > .9999) {
		tau1 = .9999*tau2
	}
	A       = 0
	B       = 0
	tp      = (tau1*tau2)/(tau2 - tau1) * log(tau2/tau1)
	factor  = -exp(-tp/tau1) + exp(-tp/tau2)
	factor  = 1/factor
}


BREAKPOINT {
	SOLVE state METHOD cnexp
	
	g = (B - A) * modulation(maxMod,max2,level,lev2)
	i = g * (v - erev)
}


DERIVATIVE state {
	A' = -A/tau1*q
	B' = -B/tau2*q
}


NET_RECEIVE(weight (uS)) {
	A = A + weight*factor
	B = B + weight*factor
}


FUNCTION modulation(m1,m2,l1,l2) {
    : calculates modulation factor
    
    modulation = 1 + damod * ( (m1-1)*l1 + (m2-1)*l2 )
    if (modulation < 0) {
        modulation = 0
    } 
}





Loading data, please wait...