Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)

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Accession:144385
A NEURON simulation has been created to model the passive spread of an EPSP from a mitral cell synapse on a granule cell spine. The EPSP was shown to propagate subthreshold through the dendritic shaft into an adjacent spine with significant amplitude (figure 2B).
Reference:
1 . Shepherd GM, Brayton RK (1979) Computer simulation of a dendrodendritic synaptic circuit for self- and lateral-inhibition in the olfactory bulb. Brain Res 175:377-82 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Dendrite;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Influence of Dendritic Geometry;
Implementer(s): Morse, Tom [Tom.Morse at Yale.edu];
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ShepherdBrayton1979
mod
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ampa.mod *
ca.mod
cad.mod *
cadiffus.mod *
canmda.mod *
car.mod *
excite.mod
gabaa.mod *
inhib.mod
kca.mod *
km.mod
kv.mod
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nmda.mod *
                            
NEURON {
	POINT_PROCESS GABAA
	RANGE tau, e, i
	NONSPECIFIC_CURRENT i
	GLOBAL gfac
: for network debugging
:	USEION gaba1 WRITE igaba1 VALENCE 0
:	USEION gaba2 WRITE igaba2 VALENCE 0
:	RANGE srcgid, targid, comp, synid
}

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

PARAMETER {
	tau = 0.1 (ms) <1e-9,1e9>
	e = 0	(mV)
	gfac = 1
}

ASSIGNED {
	v (mV)
	i (nA)
:	igaba1 (nA)
:	igaba2 (nA)
:	srcgid
:	targid
:	comp
:	synid
}

STATE {
	g (uS)
}

INITIAL {
	g=0
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	i = gfac*g*(v - e)
:	igaba1 = g
:	igaba2 = -g
}

DERIVATIVE state {
	g' = -g/tau
}

NET_RECEIVE(weight (uS)) {
	g = g + weight
}

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