A multi-compartment model for interneurons in the dLGN (Halnes et al. 2011)

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Accession:140249
This model for dLGN interneurons is presented in two parameterizations (P1 & P2), which were fitted to current-clamp data from two different interneurons (IN1 & IN2). The model qualitatively reproduces the responses in IN1 & IN2 under 8 different experimental condition, and quantitatively reproduces the I/O-relations (#spikes elicited as a function of injected current).
Reference:
1 . Halnes G, Augustinaite S, Heggelund P, Einevoll GT, Migliore M (2011) A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus. PLoS Comput Biol 7:e1002160 [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:
Cell Type(s): Thalamus lateral geniculate nucleus interneuron;
Channel(s): I L high threshold; I T low threshold; I CAN; I Sodium; I Mixed; I Potassium; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Active Dendrites; Detailed Neuronal Models; Rebound firing;
Implementer(s): Halnes, Geir [geir.halnes at nmbu.no];
Search NeuronDB for information about:  I L high threshold; I T low threshold; I CAN; I Sodium; I Mixed; I Potassium; I_AHP;
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dLGN_modelDB
readme.html
Cad.mod *
HH_traub.mod *
iahp.mod *
iar.mod *
ical.mod *
Ican.mod *
it2.mod *
091008A2.hoc *
fixnseg.hoc *
INmodel.hoc
INmodel.ses
mosinit.hoc
Parameters1.hoc
Parameters2.hoc
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// dLGN interneuron model
// PARAMETERIZATION P2
// Geir Halnes, Norwegian University of Life Sciences, June 2011


// From fitting of passive properties:
rall = 113 //most people find something like this
cap = 1.1
Rm = 45000
Vrest = -69
Epas = -71.6

// Channel densities & shifts
gna =  0.09
nash = - 50.3
gkdr = 0.5
kdrsh = -48
gahp = 0.00013
gcat=8.5e-6
gcal=0.0013
ghbar=5e-6
catau = 50
gcanbar = 1e-7

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