LabCompass

Jason M. Gold

Neuroscience · Indiana University

Publications

82

Citations

2,701

Est. group size

Recurring co-author estimate

Active years

32

Publishing since 1994

Research summary
AI-generated

Jason M. Gold studies how humans perceive and process visual information, including how we recognize faces, judge brightness (lightness), and interpret motion. His work often uses techniques that measure the efficiency of perception and how visual signals are combined with information from other senses and stored in memory. In plain terms, he investigates the mechanisms the brain uses to make sense of what we see.

Visual perception and processingFace recognition and perceptionLightness and brightness perceptionMultisensory integration and memoryBiological-motion and spatial perception

Publication activity was highest around 2017 and has declined markedly since, averaging well under one paper per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.4/year recently
2017: 8 publications8172018: 2 publications182019: 1 publication192020: 1 publication202122232024: 1 publication242025: 1 publication2526
Recent publications
Publishes in
  • Journal of Experimental Psychology Human Perception & Performance×2
  • Journal of Vision×2
  • JAMA×1
  • Science Advances×1
  • Neuroscience×1

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 11, 2026.

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