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Pinging the brain to reveal the hidden attentional priority map using encephalography

Author

Listed:
  • Dock H. Duncan

    (Vrije Universiteit Amsterdam
    Institute Brain and Behavior Amsterdam (iBBA))

  • Dirk Moorselaar

    (Vrije Universiteit Amsterdam
    Institute Brain and Behavior Amsterdam (iBBA))

  • Jan Theeuwes

    (Vrije Universiteit Amsterdam
    Institute Brain and Behavior Amsterdam (iBBA)
    ISPA-Instituto Universitario)

Abstract

Attention has been usefully thought of as organized in priority maps – putative maps of space where attentional priority is weighted across spatial regions in a winner-take-all competition for attentional deployment. Recent work has highlighted the influence of past experiences on the weighting of spatial priority – called selection history. Aside from being distinct from more well-studied, top-down forms of attentional enhancement, little is known about the neural substrates of history-mediated attentional priority. Using a task known to induce statistical learning of target distributions, in an EEG study we demonstrate that this otherwise invisible, latent attentional priority map can be visualized during the intertrial period using a ‘pinging’ technique in conjunction with multivariate pattern analyses. Our findings not only offer a method of visualizing the history-mediated attentional priority map, but also shed light on the underlying mechanisms allowing our past experiences to influence future behavior.

Suggested Citation

  • Dock H. Duncan & Dirk Moorselaar & Jan Theeuwes, 2023. "Pinging the brain to reveal the hidden attentional priority map using encephalography," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40405-8
    DOI: 10.1038/s41467-023-40405-8
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    References listed on IDEAS

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    1. R. Quian Quiroga & L. Reddy & G. Kreiman & C. Koch & I. Fried, 2005. "Invariant visual representation by single neurons in the human brain," Nature, Nature, vol. 435(7045), pages 1102-1107, June.
    2. Freek van Ede & Sammi R. Chekroud & Anna C. Nobre, 2019. "Human gaze tracks attentional focusing in memorized visual space," Nature Human Behaviour, Nature, vol. 3(5), pages 462-470, May.
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