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Vocabulary Learning Benefits From Rem After Slow-Wave Sleep., Laura J Batterink, Carmen E Westerberg, Ken A Paller
Vocabulary Learning Benefits From Rem After Slow-Wave Sleep., Laura J Batterink, Carmen E Westerberg, Ken A Paller
Brain and Mind Institute Researchers' Publications
Memory reactivation during slow-wave sleep (SWS) influences the consolidation of recently acquired knowledge. This reactivation occurs spontaneously during sleep but can also be triggered by presenting learning-related cues, a technique known as targeted memory reactivation (TMR). Here we examined whether TMR can improve vocabulary learning. Participants learned the meanings of 60 novel words. Auditory cues for half the words were subsequently presented during SWS in an afternoon nap. Memory performance for cued versus uncued words did not differ at the group level but was systematically influenced by REM sleep duration. Participants who obtained relatively greater amounts of REM showed a …
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 …