Probing to observe neural dynamics investigated with networked Kuramoto oscillators

Elma O'Sullivan-Greene, Levin Kuhlmann, Ewan S. Nurse, Dean R. Freestone, David B. Grayden, Mark Cook, Anthony Burkitt, Iven Mareels

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

The expansion of frontiers in neural engineering is dependent on the ability to track, detect and predict dynamics in neural tissue. Recent innovations to elucidate information from electrical recordings of brain dynamics, such as epileptic seizure prediction, have involved switching to an active probing paradigm using electrically evoked recordings rather than traditional passive measurements. This paper positions the advantage of probing in terms of information extraction, by using a coupled oscillator Kuramoto model to represent brain dynamics. While active probing performs better at observing underlying system synchrony in Kuramoto networks, especially in non-Gaussian measurement environments, the benefits diminish with increasing relative size of electrode spatial resolution compared to synchrony area. This suggests probing will be useful for improved characterization of synchrony for suitably dense electrode recordings.

Original languageEnglish
Article number1650038
Number of pages13
JournalInternational Journal of Neural Systems
Volume27
Issue number1
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • brain network observability
  • Epileptic seizure prediction
  • Kuramoto model
  • neural synchrony

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