LabCompass

Justin N. Wood

Neuroscience · Indiana University

Publications

108

Citations

2,562

Est. group size

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Justin N. Wood studies how visual intelligence and object recognition develop, comparing how newborn animals (such as chicks and fish) and artificial neural networks learn to see and behave. The work uses controlled-rearing experiments alongside 'digital twin' computer models to explore how much of perception comes from innate structure versus experience (the nature-nurture question). A central goal is reverse-engineering the origins of visual and social intelligence in both biological and machine systems.

Development of object and shape recognitionComparing newborn animals and deep neural networksNature-nurture origins of visual intelligenceVisual perception mechanismsSocial behavior in animals and artificial agents

Publication activity has been fairly steady over the past decade, averaging around five to eight papers per year, with lower counts in the most recent years likely reflecting incomplete records.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
2017: 9 publications172018: 6 publications182019: 4 publications192020: 4 publications202021: 10 publications10212022: 6 publications222023: 8 publications232024: 8 publications242025: 1 publication252026: 2 publications26
Publishes in
  • arXiv (Cornell University)×11
  • Cognition×2
  • Cognitive Science×2
  • PLoS Computational Biology×2
  • Human Brain Mapping×2

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.

Claim or correct this profile