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Sleep Science Podcast

Penny Lewis
Sleep Science Podcast
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  • S3E5 - Anna Schapiro - Can we model the way REM and NREM replay consolidate memories?
    How are memories represented in the brain and how can we model this?Professor Anna Schapiro from University of Pennsylvania as we discuss her work on computational modelling of sleep and memory. In this episode, we discuss several kinds of Neural Network models as well as diving into the history of Jay McClleland's Complementary Learning Systems theory and Anna's recent work on combining neural network modeling with EEG. Find out more about Anna Schapiro and her research group here.Links to articles discussed in this episode:Why there are Complementary Learning Systems in the hippocampus and neocortex[Replace with correct Norman 2005 paper]Self-recovery of memory via generative replayA unifying account of reply as context-driven memory reactivationHost: Penny LewisEditor: Sophie SmithCheck out our NaPS website to find out more about our team, our research and events. This recording is the property of the Sleep Science Podcast and not for resale.
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About Sleep Science Podcast

We spend a third of our lives sleeping, and this podcast is all about understanding sleep. We know a lot about what the brain does in sleep, but we are just starting to understand why it does some of these things, and even more excitingly, how we can take full advantage of sleep and also manipulate it for our own ends. In each episode, neuroscientist Penny Lewis interviews a different sleep researcher, talking about a various aspect of sleep science. Topics will include sleep physiology and medicine, circadian rhythm, how sleep impacts on our memories and creativity, Sleep Engineering for enhanced health and cognition, and the most recent technologies to promote sleep.©SleepSciencePodcast 2021. These materials may be downloaded for personal use only. They may not be shared, distributed or reproduced in any form or for any reason without express permission
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