13 citations · 22 across the 3 of their papers we have counts for
3 papers
System identification of biophysical neuronal models
Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre
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 th…
Feedback for nonlinear system identification
Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre
Motivated by neuronal models from neuroscience, we consider the system identification of simple feedback structures whose behaviors include nonlinear phenomena such as excitability…
Feedback Identification of conductance-based models
Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre
This paper applies the classical prediction error method (PEM) to the estimation of nonlinear discrete-time models of neuronal systems subject to input-additive noise. While the no…