Stochastic layer V pyramidal neuron: interpulse interval coding and noise (Singh & Levy 2017)

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Accession:237594
Layer V pyramidal neuron with stochastic Na channels. Supports evidence for interpulse interval coding and has very detailed AIS with Nav1.2 and Nav1.6 channels.
Reference:
1 . Singh C, Levy WB (2017) A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PLoS One 12:e0180839 [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: Neocortex;
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation;
Implementer(s): Singh, Chandan [chandan_singh at berkeley.edu];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell;
    
/* ---------------------------------------------------------------------------------------
    Define the Spines Geometry
    
    Based on the "Folding factor" described in Jack et al (1989), Major et al (1994)
    Note, this assumes active channels are present in spines at same density as dendrites
------------------------------------------------------------------------------------------*/ 

spine_dens = 1    // just using a simple spine density model due to lack of data on some neuron types.

spine_area = 0.83 // um^2  -- K Harris

proc add_spines() {  local a
  forsec $o1 {
    a =0
    for(x) a=a+area(x)

    F = (L*spine_area*spine_dens + a)/a

    L = L * F^(2/3)
    for(x) diam(x) = diam(x) * F^(1/3)
  }
}

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