LabCompass

Seah Chang

Neuroscience · The Ohio State University

Mid career · publishing since 2012

Publications

23

Citations

338

Est. group size

~1

Recurring co-author estimate

Active years

14

Publishing since 2012

Research summary
AI-generated

Seah Chang studies visual attention, focusing on how the brain enhances or suppresses distracting versus relevant visual information during tasks like visual search. A major theme is understanding the spatial 'coordinate system' the brain uses to track suppressed locations, including whether this tracking is tied to the eye's position or to the external world, and how it holds up when eyes move or scenes change in depth. This work uses behavioral experiments, eye-tracking, and brain recordings (ERP) to understand mechanisms of selective attention.

Visual attention and searchSpatial suppression mechanismsRetinotopic vs. spatiotopic codingAttentional enhancement vs. suppressionPerceptual decision-making

Publication output has been steady over the last decade, averaging roughly 1-2 papers per year with a slight recent uptick to about 2 per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 1 publication172018: 2 publications182019: 1 publication192020: 2 publications202021: 1 publication212022: 3 publications3222023: 2 publications232024: 2 publications242025: 2 publications2526
Recent publications
Publishes in
  • Journal of Vision×7
  • Attention Perception & Psychophysics×2
  • Visual Cognition×2
  • Psychological Science×1
  • Journal of Experimental Psychology Human Perception & Performance×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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