Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering

DOI

https://doi.org/10.1109/cnn56452.2022.9912450
Final published version

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.

Original language	English
Title of host publication	Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-31
Number of pages	3
ISBN (Electronic)	9781665463294
ISBN (Print)	9781665463294
DOIs	https://doi.org/10.1109/cnn56452.2022.9912450
State	Published - 17 Oct 2022
Event	4th International Conference "Neurotechnologies and Neurointerfaces" - Kaliningrad, Russian Federation Duration: 14 Sep 2022 → 16 Sep 2022

Publication series

Name	Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

Conference

Conference	4th International Conference "Neurotechnologies and Neurointerfaces"
Abbreviated title	CNN 2022
Country/Territory	Russian Federation
City	Kaliningrad
Period	14/09/22 → 16/09/22

Scopus subject areas

Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

Research areas

identification, neuron model, nonlinear dynamics

ID: 100731639