Golgi Cell Dendritic Gap Junctions, Szoboszlay et al 2016¶
This repository contains the model files used in the following paper:
Szoboszlay, Lőrincz, Lanore, Vervaeke, Silver & Nusser: Functional Properties of Dendritic Gap Junctions in Cerebellar Golgi Cells, 2016, Neuron 90, 1-14
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. #3 is the syncytium with the lowest Ra estimate, whereas #10 is the one with the highest.
"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 intiated - 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.
Original scripts added. Some morphologies exported to NeuroML 2
This model was originally developed in: NEURON
The code for this model is hosted on GitHub: https://github.com/OpenSourceBrain/GolgiCellDendGapJunctions.git