Layer 5 Pyramidal Neuron (Shai et al., 2015)

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Accession:180373
This work contains a NEURON model for a layer 5 pyramidal neuron (based on Hay et al., 2011) with distributed groups of synapses across the basal and tuft dendrites. The results of that simulation are used to fit a phenomenological model, which is also included in this file.
Reference:
1 . Shai AS, Anastassiou CA, Larkum ME, Koch C (2015) Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting. PLoS Comput Biol 11:e1004090 [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): Neocortex V1 L6 pyramidal corticothalamic GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Dendritic Action Potentials; Active Dendrites;
Implementer(s):
Search NeuronDB for information about:  Neocortex V1 L6 pyramidal corticothalamic GLU cell; Glutamate;
function outFreq = compSig(nSoma, nDend)
    a1 = 87.01;
    a2 = 68.24;
    a3 = 71.71;
    a4 = 10.5;
    b1 = 28.5;
    b2 = 164.7;
    b3 = 64.97;
    b4 = -12.63;
    M = a1 + a2./(1+exp(-(nDend-a3)./a4));
    T = b1 + b2./(1+exp(-(nDend-b3)./b4));
    outFreq = M./(1+exp(-(nSoma-T)));
end

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