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Full-Text Articles in Medicine and Health Sciences
Rapid Statistical Learning Supporting Word Extraction From Continuous Speech., Laura J Batterink
Rapid Statistical Learning Supporting Word Extraction From Continuous Speech., Laura J Batterink
Brain and Mind Institute Researchers' Publications
The identification of words in continuous speech, known as speech segmentation, is a critical early step in language acquisition. This process is partially supported by statistical learning, the ability to extract patterns from the environment. Given that speech segmentation represents a potential bottleneck for language acquisition, patterns in speech may be extracted very rapidly, without extensive exposure. This hypothesis was examined by exposing participants to continuous speech streams composed of novel repeating nonsense words. Learning was measured on-line using a reaction time task. After merely one exposure to an embedded novel word, learners demonstrated significant learning effects, as revealed by …
Online Neural Monitoring Of Statistical Learning., Laura J Batterink, Ken A Paller
Online Neural Monitoring Of Statistical Learning., Laura J Batterink, Ken A Paller
Brain and Mind Institute Researchers' Publications
The extraction of patterns in the environment plays a critical role in many types of human learning, from motor skills to language acquisition. This process is known as statistical learning. Here we propose that statistical learning has two dissociable components: (1) perceptual binding of individual stimulus units into integrated composites and (2) storing those integrated representations for later use. Statistical learning is typically assessed using post-learning tasks, such that the two components are conflated. Our goal was to characterize the online perceptual component of statistical learning. Participants were exposed to a structured stream of repeating trisyllabic nonsense words and a …
Sleep-Based Memory Processing Facilitates Grammatical Generalization: Evidence From Targeted Memory Reactivation., Laura J Batterink, Ken A Paller
Sleep-Based Memory Processing Facilitates Grammatical Generalization: Evidence From Targeted Memory Reactivation., Laura J Batterink, Ken A Paller
Brain and Mind Institute Researchers' Publications
Generalization-the ability to abstract regularities from specific examples and apply them to novel instances-is an essential component of language acquisition. Generalization not only depends on exposure to input during wake, but may also improve offline during sleep. Here we examined whether targeted memory reactivation during sleep can influence grammatical generalization. Participants gradually acquired the grammatical rules of an artificial language through an interactive learning procedure. Then, phrases from the language (experimental group) or stimuli from an unrelated task (control group) were covertly presented during an afternoon nap. Compared to control participants, participants re-exposed to the language during sleep showed larger …