Neurons are excitable cells which display fundamentally stochastic dynamics. In this work, we
provide insights into their behavior and the role of stochasticity in their functioning. Starting from
a conductance-based model, namely the Hodgkin-Huxley model, we first describe and simulate the
action potential and then introduce external noise to the neurons as a Gaussian variable. Then, we
move on to a Markov chain model to describe the dynamics of the ionic channels in a more accurate
way and identify the intrinsic noise of the neurons with the stochasticity of the aforementionned
channels2022/202
