Explorative data analysis for changes in neural activity

Duncan A.J. Blythe, Frank C. Meinecke, Paul Von Bünau, Klaus Robert Müller

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    Neural recordings are non-stationary time series, i.e. their properties typically change over time. Identifying specific changes, e.g., those induced by a learning task, can shed light on the underlying neural processes. However, such changes of interest are often masked by strong unrelated changes, which can be of physiological origin or due to measurement artifacts. We propose a novel algorithm for disentangling such different causes of non-stationarity and in this manner enable better neurophysiological interpretation for a wider set of experimental paradigms. A key ingredient is the repeated application of Stationary Subspace Analysis (SSA) using different temporal scales. The usefulness of our explorative approach is demonstrated in simulations, theory and EEG experiments with 80 brain-computer interfacing subjects.

    Original languageEnglish
    Article number026018
    JournalJournal of Neural Engineering
    Volume10
    Issue number2
    DOIs
    Publication statusPublished - 2013 Apr

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Cellular and Molecular Neuroscience

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