This class simulates the Hodgkin-Huxley neuron model by using the Runge-Kutta numerical optimization method.
Moreover it assumes a resting potential of 0mV as described on the original paper "A quantitative description of membrane current and its application to conduction and excitation in nerve" by Hodgkin and Huxley.
To read more about how it works check out the original blog post: http://blog.datumbox.com/coding-brain-neurons-by-using-hodgkin-huxley-model/
Original Paper: http://www.sfn.org/~/media/SfN/Documents/ClassicPapers/ActionPotentials/hodgkin5.ashx
Datumbox: https://www.datumbox.com/
Machine Learning Blog: https://blog.datumbox.com/