A nonlinear estimator for the activity of neuronal populations in the hippocampus

Michelle Chong, Romain Postoyan, Dragan Nešić, Levin Kuhlmann, Andrea Varsavsky

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

We present an estimator design to reconstruct the mean membrane potential of individual neuronal populations from a single channel simulated electroencephalographic signal based on a model of the hippocampus. The robustness of the estimator against variations in the synaptic gains of the neuronal populations and disturbances in the input and measurement is studied. Our results are further illustrated in simulations.

Original languageEnglish
Pages (from-to)9899-9904
Number of pages6
JournalIFAC-PapersOnLine
Volume44
Issue number1
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes

Bibliographical note

Funding Information:
This work was carried out with support from the St. Vincent’s Hospital (Melbourne) Research Endowment Fund.

Keywords

  • Biomedical
  • Brain models
  • Robustness
  • Stability
  • System state estimation

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