Functional structure of mitral cell dendritic tuft (Djurisic et al. 2008)

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Accession:136026
The computational modeling component of Djurisic et al. 2008 addressed two primary questions: whether amplification by active currents is necessary to explain the relatively mild attenuation suffered by tuft EPSPs spreading along the primary dendrite to the soma; what accounts for the relatively uniform peak EPSP amplitude throughout the tuft. These simulations show that passive spread from tuft to soma is sufficient to yield the low attenuation of tuft EPSPs, and that random distribution of a biologically plausible number of excitatory synapses throughout the tuft can produce the experimentally observed uniformity of depolarization.
Reference:
1 . Djurisic M, Popovic M, Carnevale N, Zecevic D (2008) Functional structure of the mitral cell dendritic tuft in the rat olfactory bulb. J Neurosci 28:4057-68 [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: Olfactory bulb;
Cell Type(s): Olfactory bulb main mitral GLU cell;
Channel(s): I K; I Sodium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Active Dendrites; Synaptic Integration; Olfaction;
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; I K; I Sodium;
// $Id: fixgrid_spiketuft.hoc,v 1.1 2007/03/16 02:17:07 ted Exp ted $

/*
Ensure that the spatial grid is appropriate for "bracketing simulations"
1.  Turn off Continuous Create
2.  Double Ra and cm
3.  Regrid the model using d_lambda rule
4.  Finally, restore original Ra and cm
*/

CellBuild[0].continuous = 0

forall {
  Ra*=2
  for (x,0) cm(x)*=2
}

// assumes using standard library so lambda_f() is known

proc geom_nseg() {
// why forsec all, and not just forall?
// if all is ever not all-inclusive, this is a bug waiting to happen
//  forsec all { nseg = int((L/(0.1*lambda_f(100))+.9)/2)*2 + 1  }
  forall { nseg = int((L/(0.1*lambda_f(100))+.9)/2)*2 + 1  }
}

geom_nseg()

forall {
  Ra/=2
  for (x,0) cm(x)/=2
}

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