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Related Experiment Video

Updated: Jul 2, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Figure-ground segmentation can occur without attention.

Ruth Kimchi1, Mary A Peterson

  • 1Department of Psychology, University of Haifa, Haifa 31905, Israel. rkimchi@research.haifa.ac.il

Psychological Science
|August 30, 2008
PubMed
Summary
This summary is machine-generated.

Figure-ground segmentation, the process of distinguishing objects from their background, can occur unconsciously. This study shows that visual scenes are segmented even when individuals are not paying attention.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • The ability of figure-ground segmentation to operate outside of conscious awareness remains a debated topic in visual neuroscience.
  • While early theories proposed automatic segmentation, recent findings suggest attention influences this process, necessitating further investigation.

Purpose of the Study:

  • To determine if figure-ground segmentation can occur independently of focal attention.
  • To investigate the influence of unattended figure-ground organization on visual processing.

Main Methods:

  • Participants performed a change-detection task on a matrix superimposed on a scene with varying figure-ground organization.
  • The scene's figure-ground status was manipulated independently of the matrix task.
  • Post-task surprise questions assessed participants' awareness of the scene's organization and changes.

Main Results:

  • Changes in the unattended scene's figure-ground organization affected performance on the primary task, indicating processing.
  • Participants could not consciously report the figure-ground status or changes in the unattended scene.
  • Attending to the scene allowed for accurate reporting of its figure-ground status and changes.

Conclusions:

  • Figure-ground segmentation can occur automatically, without requiring focal attention.
  • Unattended visual information is processed and can influence performance on concurrent tasks.
  • This provides strong evidence for pre-attentive visual scene analysis.