REM sleep enhancement of probabilistic classification learning is sensitive to subsequent interference

Neurobiology of Learning and Memory
Murray M BarskyRobert Stickgold

Abstract

During wakefulness the brain creates meaningful relationships between disparate stimuli in ways that escape conscious awareness. Processes active during sleep can strengthen these relationships, leading to more adaptive use of those stimuli when encountered during subsequent wake. Performance on the Weather Prediction Task (WPT), a well-studied measure of implicit probabilistic learning, has been shown to improve significantly following a night of sleep, with stronger initial learning predicting more nocturnal REM sleep. We investigated this relationship further, studying the effect on WPT performance of a daytime nap containing REM sleep. We also added an interference condition after the nap/wake period as an additional probe of memory strength. Our results show that a nap significantly boosts WPT performance, and that this improvement is correlated with the amount of REM sleep obtained during the nap. When interference training is introduced following the nap, however, this REM-sleep benefit vanishes. In contrast, following an equal period of wake, performance is both unchanged from training and unaffected by interference training. Thus, while the true probabilistic relationships between WPT stimuli are strengthened by sleep,...Continue Reading

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Citations

Jan 19, 2016·Frontiers in Psychology·Sue Llewellyn
May 11, 2015·Neurobiology of Learning and Memory·Björn Rasch, Jan Born
Aug 3, 2016·Neurobiology of Learning and Memory·Itamar LernerMark A Gluck
Jul 29, 2018·Cellular and Molecular Life Sciences : CMLS·Daniel G Almeida-FilhoSidarta Ribeiro
Feb 21, 2019·Annual Review of Clinical Psychology·Dara S Manoach, Robert Stickgold
Sep 21, 2018·Sleep & Breathing = Schlaf & Atmung·Andrew W Varga, Babak Mokhlesi

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