This contains the models, functions and resulting data as used in:

Rössert C, Solinas S, D'Angelo E, Dean P and Porrill J (2014) Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Front. Cell. Neurosci. 8:304. doi: 10.3389/fncel.2014.00304

The Model of the Granule cell used is from: Solinas S., Nieus T, d'Angelo E. (2010) A Realistic Large-Scale Model of the Cerebellum Granular Layer Predicts Circuit Spatio-Temporal Filtering Properties. Front Cell Neurosci. 2010;4:12.


1. run ./nrncompule to compile .mod files

2. To plot the figures from the saved data files execute the commands below.

3. To run the actual simulations remove the option "--norun"

4. Figures will be saved to: figs/Pub


# FIGURE 1
python Plots_Openloop_Paper_Methods.py -o fig1 --norun

# FIGURE 2:
python Plots_Openloop_Paper_Methods.py -o fig2 --norun

# FIGURE 3:
python Plots_Openloop_Paper_Results.py -o fig3 --norun

# FIGURE 4:
python Plots_Openloop_Paper_Results.py -o fig4 --norun

# FIGURE 5:
python Plots_Openloop_Paper_Results.py -o fig4b --norun

# FIGURE 6:
python Plots_Openloop_Paper_Results_syn.py -o fig5 --norun

# FIGURE 7:
python Plots_Openloop_Paper_Results_syn.py -o fig6 --norun

# FIGURE 8:
python Plots_Openloop_Paper_Results_syn.py -o fig7 --norun

# FIGURE 9:
python Plots_Openloop_Paper_Results_syn.py -o fig8b --norun

# FIGURE 10:
python Plots_Openloop_Paper_Results_syn.py -o fig8a --norun


Notes:
- When running simulations with MPI the number of nodes has to be <= to number of cells, otherwise error is returned.

All analysis scripts were implemented by Christian Rössert
(christian.a [4t] roessert.de)