Signal integration in LGN cells (Briska et al 2003)

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Accession:29942
Computer models were used to investigate passive properties of lateral geniculate nucleus thalamocortical cells and thalamic interneurons based on in vitro whole-cell study. Two neurons of each type were characterized physiologically and morphologically. Differences in the attenuation of propagated signals depend on both cell morphology and signal frequency. See the paper for details.
Reference:
1 . Briska AM, Uhlrich DJ, Lytton WW (2003) Computer model of passive signal integration based on whole-cell in vitro studies of rat lateral geniculate nucleus. Eur J Neurosci 17:1531-41 [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 geniculate nucleus (lateral) principal neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Influence of Dendritic Geometry;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu];
Search NeuronDB for information about:  Thalamus geniculate nucleus (lateral) principal neuron;
README for the model files associated with the paper

Briska AM; Uhlrich DJ; Lytton, WW.  Computer model of passive signal integration 
based on whole-cell in vitro studies of rat lateral geniculate nucleus. 
European Journal of Neuroscience, 17:1531-1541, 2003.

This simulation reproduces the morphologies and charging curves for 2 thalamocortical 
cells and 2 thalamic interneurons as in Fig. 1 of the above paper.

Note: parameters (Ra,Rm,Cm) are not the same as those shown in Fig. 1; instead the 
standard parameters from TABLE 2 are used

This simulation can be auto-launched from ModelDB or downloaded as a zip file.
After unzipping the simulation can be run by typing
nrngui mosinit.hoc
on PC or unix or by double clicking on the mosinit.hoc file on the PC.

scholl.hoc may be run from neuron main menu's "load hoc" or the oc command line:
oc>load_file("scholl.hoc")
which will plot Scholl(*) plots for these four cells (these plots show the 
number of processes from a cell that stradle each distance from the soma).

(*) Scholl D. Dendritic organization in the neurons of the visual and 
motor cortices of the rat. J Anat 87: 387-406, 1953

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