Dynamic changes in network activations characterize early learning of a natural language.

ABSTRACT: Those who are initially exposed to an unfamiliar language have difficulty separating running speech into individual words, but over time will recognize both words and the grammatical structure of the language. Behavioral studies have used artificial languages to demonstrate that humans are sensitive to distributional information in language input, and can use this information to discover the structure of that language. This is done without direct instruction and learning occurs over the course of minutes rather than days or months. Moreover, learners may attend to different aspects of the language input as their own learning progresses. Here, we examine processing associated with the early stages of exposure to a natural language, using fMRI. Listeners were exposed to an unfamiliar languag

SUBMITTER: Plante E 

PROVIDER: S-EPMC4167491 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature