System identification of biophysical neuronal models

TB Burghi, M Schoukens… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
After sixty years of quantitative biophysical modeling of neurons, the identification of
neuronal dynamics from input-output data remains a challenging problem, primarily due to …

Learning flow functions: architectures, universal approximation and applications to spiking systems

M Aguiar - 2024 - diva-portal.org
Learning flow functions of continuous-time control systems is considered in this thesis. The
flow function is the operator mapping initial states and control inputs to the state trajectories …