Attentional suppression is in place before display onset

Changrun Huang*, Mieke Donk, Jan Theeuwes

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Recent studies have shown that observers can learn to suppress a location that is most likely to contain a distractor. The current study investigates whether the statistically learned suppression is already in place, before, or implemented exactly at the moment participants expect the display to appear. Participants performed a visual search task in which a distractor was presented more frequently at the high-probability location (HPL) in a search display. Occasionally, the search display was replaced by a probe display in which participants needed to detect a probe offset. The temporal relationship between the probe display and the search display was manipulated by varying the stimulus onset asynchronies (SOAs) in the probe task. In this way, the attentional distribution in space was probed before, exactly at, or after the moment when the search display was expected to be presented. The results showed a statistically learned suppression at the HPL, as evidenced by faster and more accurate search when a distractor was presented at this location. Crucially, irrespective of the SOA, probe detection was always slower at the HPL than at the low-probability locations, indicating that the spatial suppression induced by statistical learning is proactively implemented not just at the moment the display is expected, but prior to display onset. We conclude that statistical learning affects the weights within the priority map relatively early in time, well before the availability of the search display.

Original languageEnglish
Pages (from-to)1012-1020
Number of pages9
JournalAttention, Perception, and Psychophysics
Volume85
Issue number4
Early online date6 Apr 2023
DOIs
Publication statusPublished - May 2023

Bibliographical note

Funding Information:
Jan Theeuwes was supported by a European Research Council (ERC) advanced grant 833029 – [LEARNATTEND] and Changrun Huang was supported by a China Scholarship Council (CSC) scholarship [201908440284].

Publisher Copyright:
© 2023, The Author(s).

Keywords

  • Distractor suppression
  • Statistical learning
  • Visual selection

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