Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

Journal: Biological psychology
PMID: 30403970

Abstract

OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs) like updating, inhibition and shifting play an important role in WM functioning. The models state that EFs highly correlate with each other but also have some individual variance which makes them separable processes. Since this theory has mostly been substantiated with behavioral data like reaction time and the ability to execute a task correctly, the aim of this paper is to find evidence for diversity (unique properties) of the EFs updating and inhibition in neural correlates of EEG data by means of using brain-computer interface (BCI) methods as a research tool. To highlight the benefit of this approach we compare this new methodology to classical analysis approaches.

Authors

  • Tanja Krumpe
    Department of Computer Engineering, University of Tübingen, Sand 14, 72076 Tübingen, Germany. Electronic address: tanja.krumpe@uni-tuebingen.de.
  • Christian Scharinger
    Department of Computer Engineering, University of Tübingen, Sand 14, 72076 Tübingen, Germany.
  • Wolfgang Rosenstiel
    Department of Computer Engineering, University of Tübingen, Sand 14, 72076 Tübingen, Germany.
  • Peter Gerjets
    Department of Computer Engineering, University of Tübingen, Sand 14, 72076 Tübingen, Germany.
  • Martin Spüler
    Department of Computer Engineering, University of Tübingen, Sand 14, 72076 Tübingen, Germany.

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