Forcing function effects on nonlinear trajectories: Identifying very local brain dynamics

Robert A.M. Gregson*, Kerry Leahan

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    Effects of imposing a sinusoidal acoustic and visual forcing function at various frequencies onto an EEG process are examined in terms of various indices of the nonlinear dynamics. Conjoint use of four methods of data analysis; Lyapunov exponents, the entropic analogue of the Schwarzian derivative, surrogate distributions, and higher-order kernel analyses in the time domain, is illustrated. Local epochs with unstable dynamics are identified on very short series.

    Original languageEnglish
    Pages (from-to)139-159
    Number of pages21
    JournalNonlinear Dynamics, Psychology, and Life Sciences
    Volume7
    Issue number2
    DOIs
    Publication statusPublished - Apr 2003

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