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Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017)
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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.
Droste F, Lindner B (2017) Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise
J. Comp. Neurosci.
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Abstract integrate-and-fire leaky neuron;
Abstract theta neuron;
C or C++ program;
Droste, Felix [fedro at posteo.de];
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