Scaled FitzHugh-Nagumo equations as building blocks for modelling dynamics adjusted to measurable biophysical data

Eugene B. Postnikov, Olga V. Titkova, Anastasia I. Lavrova

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

We apply the method of scaling fitting of the FitzHugh-Nagumo equation to describe a circuit consisting of the two coupled neurons aimed to reproduce non-stationary EEG modulations of theta-rhythm emerging during a rat's run along a linear track. It is shown that such an approach allows a quantitative reproduction of recorded oscillations and, therefore, may be used for a further development of computational models describing the spatial navigation in a rat brain.

Original languageEnglish
Title of host publicationICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-14
Number of pages2
Volume2018-January
ISBN (Electronic)9781509066643
ISBN (Print)9781509066643
DOIs
StatePublished - 2 Feb 2018
Event2nd International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2017 - Okinawa, Japan
Duration: 23 Nov 201725 Nov 2017

Publication series

NameICIIBMS 2017 - 2nd International Conference on Intelligent Informatics and Biomedical Sciences
Volume2018-January

Conference

Conference2nd International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2017
CountryJapan
CityOkinawa
Period23/11/1725/11/17

Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Biomedical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Keywords

  • computational neuroscience
  • EEG
  • FitzHugh-Nagumo model
  • spatial navigation

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