Learning Optimal Control for Hodgkin–Huxley Neuron Dynamics Using Physics-Informed Neural Networks
Master thesis, Bachelor thesis
This project explores a novel approach for solving the optimal control problem (OCP) for spiking neurons modeled by the Hodgkin–Huxley (HH) equations using Physics-Informed Neural Networks (PINNs).
