Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017)

 Download zip file 
Help downloading and running models
This archive contains source code for the paper "Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise" by Droste and Lindner, 2017. Specifically, it contains a Python implementation of the analytical formulas derived in that paper (allowing to calculate firing rate, CV and stationary voltage distribution of general integrate-and-fire neurons driven by excitatory shot noise, as well as power spectrum and rate-response of leaky integrate-and-fire neurons with such input) and C++ code implementing a Monte-Carlo simulation to estimate these quantities. A sample Jupyter notebook to play around with the analytics is included, as are scripts to reproduce the figures from the paper.
1 . Droste F, Lindner B (2017) Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise J. Comp. Neurosci.
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire leaky neuron; Abstract theta neuron;
Gap Junctions:
Simulation Environment: C or C++ program; Python;
Model Concept(s):
Implementer(s): Droste, Felix [fedro at];
set -e

python -m plots.probability_density.eif.plot
python -m plots.probability_density.lif.plot
python -m plots.r0_over_rin_e.lif.lowrin.plot
python -m plots.cv_over_a.qif.plot
python -m plots.power_spectrum.plot
echo "plotting r0 over rin for EIF... this may take some time"
python -m plots.r0_over_rin_e.eif.plot
python -m plots.suscep.current_modulation/cosstim/plot

Loading data, please wait...