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 languageEnglish
Title of host publicationProceedings - 4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-31
Number of pages3
ISBN (Electronic)9781665463294
ISBN (Print)9781665463294
DOIs
StatePublished - 17 Oct 2022
Event4th International Conference "Neurotechnologies and Neurointerfaces" - Kaliningrad, Russian Federation
Duration: 14 Sep 202216 Sep 2022

Publication series

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

Conference

Conference4th International Conference "Neurotechnologies and Neurointerfaces"
Abbreviated titleCNN 2022
Country/TerritoryRussian Federation
CityKaliningrad
Period14/09/2216/09/22

    Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

    Research areas

  • identification, neuron model, nonlinear dynamics

ID: 100731639