    The subfolders contain the model files used in the following paper:

    Szoboszlay, Lorincz, Lanore, Vervaeke, Silver & Nusser: Functional
    Properties of Dendritic Gap Junctions in Cerebellar Golgi Cells
    2016, Neuron 90, 1-14

    This model requires NEURON which is available for free from
    http://www.neuron.yale.edu

    The model can be autolaunched from modeldb if NEURON is installed and
    the browser is properly configured. One of the gapCond.mod files need
    to be compiled for your platform (see
    https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html).  Then
    you can start mosinit.hoc or to select a simulation.  See below for
    more information.

    The "01_Soma-dendritic_recordings" folder contains the models which
    used to estimate the specific axial resistivity (Ra) of cerebellar
    Golgi cells (GoCs). Two sets of experiments are modeled, the only
    difference between the two is the application of gap junction (GJ)
    blocker mefloquine. These simulations are in the "02_Mefloquine"
    folder, whereas the others are in the "01_Control" folder.

    Figure 5 of the original paper shows the results of the mefloquine
    simulations, which can be initiated by running "init_fitting.hoc"
    file.  Please note that all the simulations contain the original
    experimental data:
     - "Isoma" is the somatic membrane potential (evoked by somatic
       current injections)
     - "Vdend" is the dendritic membrane potential at the given dendritic
       compartment (evoked by the same somatic current injections).

    The "01_Control" folder is essentially the same, the models can be
    initiated as mentioned above. In case of 140311-C1, the simulation of
    2 syncytia is from Figure S2. num3 is the syncytium with the lowest Ra
    estimate, whereas num10 is the one with the highest. To recreate the
    lower set of traces in figure S2A compile the modfiles (see
    https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html) in the folder

    Golgi/01_Soma-dendritic_recordings/01 Control/140311-C1/syncytium/num10

    and then start init_fitting.hoc in this folder.  After you click on
    the "Error Value" button in the mutliple run fitter you should see:

    "02_Somatic_paired_recordings" contain the simulation files used in
    Figure 6, where we determined gap junctional conductance (Ggj).
    Each of these simulations can be initiated - after compiling them - by
    running "init_auto_fitting.hoc". The files
    "Passive_GoC_membrane_kinetics_#.hoc" are all generated by
    neuroConstruct (Gleeson, Steuber, Silver (2007). neuroConstruct: a
    tool for modelling networks of neurons in 3D space. Neuron 54,
    219-235).

    These files contain the randomly generated GJ locations used in the
    paper, the different scenarios can be run directly by changing the
    actual number at the end of the filename in the "init.hoc" file.

    These simulation also contain experimental data, the "generator"
    starting with "I" is always the one receiving the current injection,
    whereas the one starting with "Att" is the one containing the
    attenuated membrane response of the coupled GoC.

    Any further questions related to the model should be addressed to:
    Miklos Szoboszlay (szoboszlay.miklos@koki.mta.hu),
    R. Angus Silver (a.silver@ucl.ac.uk) or Zoltan Nusser (nusser@koki.hu)