Signal integration in LGN cells (Briska et al 2003)

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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.
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;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Influence of Dendritic Geometry;
Implementer(s): Lytton, William [billl at];
Search NeuronDB for information about:  Thalamus geniculate nucleus (lateral) principal neuron;
// $Id: scholl.hoc,v 1.4 2003/10/12 15:38:29 billl Exp $

// This code produces a modified Scholl plot for these 4 thalamic cells
// It is modified since it determines the number of neurites based on
// intradendritic distance rather than cartesian distance from soma.
// This makes more sense, particularly for the thalamic interneurons which tend to
// loop back and would thereby produce additional neurite crossings of
// soma-centered spheres.

//* scholl
proc scholl() { local maxdist,ii,sumn
  $o1.soma distance()
  maxdist = -1
  forsec $ if (distance(1)>maxdist) maxdist=distance(1)
  for (ii=0;ii<maxdist;ii+=1) {
    forsec $ if (distance(0)<ii && ii<distance(1)) sumn+=1
    $o2.append(ii) $o3.append(sumn)

proc drawscholl() {
  for ii=0,3 {

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