Vomeronasal sensory neuron (Shimazaki et al 2006)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:64212
NEURON model files from the papers: Shimazaki et al, Chem. Senses, epub ahead of print (2006) Electrophysiological properties and modeling of murine vomeronasal sensory neurons in acute slice preparations. The model reproduces quantitatively the experimentally observed firing rates of these neurons under a wide range of input currents.
Reference:
1 . Shimazaki R, Boccaccio A, Mazzatenta A, Pinato G, Migliore M, Menini A (2006) Electrophysiological properties and modeling of murine vomeronasal sensory neurons in acute slice preparations. Chem Senses 31:425-35 [PubMed]
Citations  Citation Browser
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:
Cell Type(s):
Channel(s): I Na,t; I A; I K;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potentials;
Implementer(s): Shimazaki, Ranken ;
Search NeuronDB for information about:  I Na,t; I A; I K;
/
VNO
readme.txt
kavn.mod
kdr.mod *
navn.mod
mosinit.hoc
vno.hoc
vno.ses
                            
load_file("nrngui.hoc")
cvode_active(1)

celsius = 22
Vrest = -70
create soma, dendrite
soma {diam=14 L=14 nseg=1}
dendrite {diam=1.5 L=70 nseg=6}
connect soma(1), dendrite(0) 
tstop = 5000

areatot=0
forall {insert pas e_pas=Vrest Ra=150 cm=1 g_pas=cm/155000
insert kavn ek=-75 gbar_kavn=0.00215
insert navn ena=50 gbar_navn=0.012
for (x) {areatot=areatot+area(x)}
}
access soma
print "area ", areatot

objref stimulus, pattern, nc, istim

proc init() {
      forall {v=Vrest}
	finitialize(Vrest)
      fcurrent()
      forall for(x) {e_pas(x)=v(x)+(ina(x)+ik(x))/g_pas(x)}
	cvode.re_init()
}



pattern = new NetStim(.5)
pattern.number = 5
pattern.interval = 10
pattern.start = 1

istim = new IClamp(.5)
istim.del = 500
istim.amp = 0.002
istim.dur = 2000

stimulus = new Exp2Syn(.5)
stimulus.e = 0
stimulus.tau1 = 4
stimulus.tau2 = 5

nc = new NetCon(pattern, stimulus, 0, 0, 0e-3)

load_file("vno.ses")