System identification: theory for the user
System identification: theory for the user
Identifiability of parametric models
Identifiability of parametric models
On global identifiability for arbitrary model parametrizations
Automatica (Journal of IFAC)
On the identifiability and distinguishability of nonlinear parametric models
M2SABI Proceedings of the 1st IMACS-IFAC symposium on Mathematical modelling and simulation in agriculture and bio-industries
Asynchronous Parallel Pattern Search for Nonlinear Optimization
SIAM Journal on Scientific Computing
SAGE: system for algebra and geometry experimentation
ACM SIGSAM Bulletin
Simple model of spiking neurons
IEEE Transactions on Neural Networks
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Identifiability analysis of a single Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances is performed in order to decide if one can uniquely determine the model parameters from measured data in this simple case. It is shown that the two steady-state parameters (m"~, h"~) and the conductance (g) are not globally identifiable together using a single step voltage input. Moreover, no pair from these three parameters is identifiable. Based on the results of the identifiability analysis, a novel optimization-based identification method is proposed and demonstrated on in silico data. The proposed method is based on the decomposition of the parameter estimation problem into two parts using multiple voltage step traces. The results of the article are used to formulate explicit criteria for the design of voltage clamp protocols.