Reproducibility-FBB-MSU / Application-of-Uncertainpy-for-Izhikevich-Neuron-Model-Quantification

Authors: Anton Izzi, Stanislav Tikhonov, Anton Vlasov. In this project we used Uncertainpy module for Python to quantify Izhikevich neuron models with different parameters to evaluate the module's quality.

Application of Uncertainpy for Izhikevich Neuron Model Quantification

Authors: Anton Izzi, Stanislav Tikhonov, Anton Vlasov.
In this project we used Uncertainpy module for Python to quantify Izhikevich neuron models with different parameters to evaluate the module's quality.

Сontibution of authors:

Anton Izzi created a clear annotation for uq_izhikevich_function.py in .ipynb file with a prompt description of main parameters used.
Stanislav Tikhonov performed literature review giving important information on using the Uncertainpy module and making a comprehensible presentation of it and Izhikevich neuron model.
Anton Vlasov wrote Main.ipynb notebook to quantify neuron models with different parameters using uq_izhikevich_function.py and ran the program on his computer providing the results.

The authors declare no conflict of interests. The following files (uq_izhikevich_function.py and izhikevich_function.py) were taken from /Uncertainpy/examples repository.