Statistical learning is constrained to less abstract patterns in complex sensory input (but not the least).

ABSTRACT: The influence of statistical information on behavior (either through learning or adaptation) is quickly becoming foundational to many domains of cognitive psychology and cognitive neuroscience, from language comprehension to visual development. We investigate a central problem impacting these diverse fields: when encountering input with rich statistical information, are there any constraints on learning? This paper examines learning outcomes when adult learners are given statistical information across multiple levels of abstraction simultaneously: from abstract, semantic categories of everyday objects to individual viewpoints on these objects. After revealing statistical learning of abstract, semantic categories with scrambled individual exemplars (Exp. 1), participants viewed pictures whe

SUBMITTER: Emberson LL 

PROVIDER: S-EPMC4905776 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature