Skip to content

Latest commit

 

History

History

GC_iaf_model

GC integrate-and-fire model

Simulations of GC properties and MF->GC transmission from Kita et al. 2021 (doi:10.7554/eLife.65152).
Simulations are run in IgorPro (Wavemetrics) using NeuroMatic (www.thinkrandom.com).
Tested on Mac OS 10.14.6 running IgorPro 6.37 and Neuromatic v3.0c.

Folder description:

  • fixed MF input
    Contains .ipf files to run simulations for fixed frequency MF input. These simulations run a single MF-GC synaptic input based on experimental conductances. Individual .ipf files run simulations for 100–300Hz MF input. Reproduces data from Figure 4–figure supplement 2.
  • random MF input
    Contains .ipf files to run simulations for random (poisson) frequency MF input. These simulations run four MF-GC synaptic inputs, synaptic conductances are based on experimental results. Individual .ipf files run simulations for 10–320Hz MF input ("low_freq") or 50–1000Hz MF input ("high_freq"). Reproduces data from Figure 5 and Figure 5–figure supplement 2.
  • spike analysis
    Contains a python file to analyse spike train synchronicity (requires the pyspike library: /~https://github.com/mariomulansky/PySpike). Runs in Python 2.7. Adjust path to the location of the folder containing the exported spike time .txt files.
  • tonic inhibition
    Contains the .ipf file to run GC model with step current injections. Runs GC model with ("ctrl") or without tonic inhibition ("bmi"). Reproduces Figure 2–figure supplement 2.
  • analysis routines
    Contains .ipf files for various analyses of simulation results.