Perceptual Learning: Basic Research and Modeling
This work focuses on high-level perceptual learning, especially research and modeling of human abilities to discover and encode abstract relations (as in perception of a shape, a melody, or in language).
We are also working to relate examples of so-called high-level and low-level perceptual learning – an effort that is tending to show that, following Eleanor Gibson's classic view, selection and discovery of invariance characterize perceptual learning across levels, and even improvements that appear "low-level" and sensory involve substantial contributions of perceptual organization.
- Philip J. Kellman
- Everett Mettler
- Carolyn Bufford
- Christine Massey (Penn)
- Hongjing Lu (UCLA)
- Patrick Garrigan (SJU)