Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering
Аlexander L. Fradkov, Alexander I. Shepeljavyi, Aleksandra Rybalko · 2022
The paper is devoted to identification of the FHN neuron model for the case when only measurements of the mem-brane potential are available. A new identification algorithm is proposed based on the speed-gradient methodology and filtering.