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Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering. / Fradkov, Alexander; Shepeljavyi, Alexander; Rybalko, Alexandra.

Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 29-31 (Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Fradkov, A, Shepeljavyi, A & Rybalko, A 2022, Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering. in Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022. Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022, Institute of Electrical and Electronics Engineers Inc., pp. 29-31, 4th International Conference "Neurotechnologies and Neurointerfaces", Kaliningrad, Russian Federation, 14/09/22. https://doi.org/10.1109/cnn56452.2022.9912450

APA

Fradkov, A., Shepeljavyi, A., & Rybalko, A. (2022). Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering. In Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022 (pp. 29-31). (Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/cnn56452.2022.9912450

Vancouver

Fradkov A, Shepeljavyi A, Rybalko A. Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering. In Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 29-31. (Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022). https://doi.org/10.1109/cnn56452.2022.9912450

Author

Fradkov, Alexander ; Shepeljavyi, Alexander ; Rybalko, Alexandra. / Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering. Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 29-31 (Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022).

BibTeX

@inproceedings{ad849f8b177447379e3f9f302c798f47,
title = "Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering",
abstract = "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. ",
keywords = "identification, neuron model, nonlinear dynamics",
author = "Alexander Fradkov and Alexander Shepeljavyi and Alexandra Rybalko",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2022 ; Conference date: 14-09-2022 Through 16-09-2022",
year = "2022",
month = oct,
day = "17",
doi = "10.1109/cnn56452.2022.9912450",
language = "English",
isbn = "9781665463294",
series = "Proceedings - 4th International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "29--31",
booktitle = "Proceedings - 4th International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2022",
address = "United States",

}

RIS

TY - GEN

T1 - Identification of the FitzHugh-Nagumo Neuron Model Based on the Speed-Gradient and Filtering

AU - Fradkov, Alexander

AU - Shepeljavyi, Alexander

AU - Rybalko, Alexandra

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022/10/17

Y1 - 2022/10/17

N2 - 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.

AB - 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.

KW - identification

KW - neuron model

KW - nonlinear dynamics

UR - http://www.scopus.com/inward/record.url?scp=85141398570&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/a3e81f3e-d030-3eb5-82fb-39a0e4ac2ddf/

U2 - 10.1109/cnn56452.2022.9912450

DO - 10.1109/cnn56452.2022.9912450

M3 - Conference contribution

AN - SCOPUS:85141398570

SN - 9781665463294

T3 - Proceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

SP - 29

EP - 31

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference "Neurotechnologies and Neurointerfaces"

Y2 - 14 September 2022 through 16 September 2022

ER -

ID: 100731639