Single Neuron Models: from HH to AdEx

This project has been realized as part of the Biological Modeling of Neural Networks (BIO-465) course at EPFL.

The main goal was to study the Adaptation phenomenon in a biological neuron. Starting from the basic Hodgkin-Huxley model, we enriched it with an adaptation current $I_M$ to account for it. Then, we studied the Adaptive Exponential Integrate and Fire model, a simpler tool yielding accurate results in this context. We tuned its parameters in order to match the HH neuron, and compared the two models.

Repo structure

• The Documentation folder contains the reference papers, the project description as well as the final report.
• The Images folder contains images that were used in the report, generated from the main code.
• The cleaned_notebook.ipynb file contains all the code for this project. Markdown cells have been used to describe and explain the steps.

Authors

• Laura Mismetti
• Thomas Rimbot