Beyond Bouma's window: How to explain global aspects of crowding?
Fig 3
Tested models and their characteristics.
Models may integrate information locally or globally, and the interference mechanism may be pooling, substitution, or other. Models are feed-forward or recurrent, and may or may not compute grouping-like aspects of the stimulus. The aim of the current work is to investigate which models can explain the global effects of crowding.