Transfer in Rule-Based Category Learning Depends on the Training Task.

ABSTRACT: While learning is often highly specific to the exact stimuli and tasks used during training, there are cases where training results in learning that generalizes more broadly. It has been previously argued that the degree of specificity can be predicted based upon the learning solution(s) dictated by the particular demands of the training task. Here we applied this logic in the domain of rule-based categorization learning. Participants were presented with stimuli corresponding to four different categories and were asked to perform either a category discrimination task (which permits learning specific rule to discriminate two categories) or a category identification task (which does not permit learning a specific discrimination rule). In a subsequent transfer stage, all participants were ask

SUBMITTER: Kattner F 

PROVIDER: S-EPMC5072674 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature