Learning a new category starts with particular examples and has to end with a relation that covers examples you have not seen. This paper treats that step as a problem for both the behavioural data and a model of the learning.
The approach
People learn new categories from concrete examples. A model-based neuroscience approach is used to connect the learning to the abstract relation the category depends on, rather than to surface features of the training items.