This project is about unit tests for brains with SciUnit. We want to evaluate the strength of various models and select them among competitors for analyzing brain data.

The FitzHugh-Nagumo model (FHN) lets us study spike generation in squid giant axons using a 2-dimensional simplified version created from the Hodgkin-Huxley model. This Jupyter notebook file lets users test the stability of various parts of the FitzHugh-Nagumo model under different parameter conditions. Varying the parameters, we can determine where points of stability lie and how the nature of parts of the model differs under these conditions. We use the SciUnit boolean test to determine whether different parameter sets match one another in terms of stability for various conditions.