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BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

FromBrain Inspired


BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

FromBrain Inspired

ratings:
Length:
89 minutes
Released:
Apr 15, 2022
Format:
Podcast episode

Description

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Ken discusses the recent work in his lab that allows communication with subjects while they experience lucid dreams. This new paradigm opens many avenues to study the neuroscience and psychology of consciousness, sleep, dreams, memory, and learning, and to improve and optimize sleep for cognition. Ken and his team are developing a Lucid Dreaming App which is freely available via his lab. We also discuss much of his work on memory and learning in general and specifically related to sleep, like reactivating specific memories during sleep to improve learning.



Ken's Cognitive Neuroscience Laboratory.Twitter: @kap101.The Lucid Dreaming App.Related papersMemory and Sleep: How Sleep Cognition Can Change the Waking Mind for the Better.Does memory reactivation during sleep support generalization at the cost of memory specifics?Real-time dialogue between experimenters and dreamers during REM sleep.





0:00 - Intro
2:48 - Background and types of memory
14:44 -Consciousness and memory
23:32 - Phases and sleep and wakefulness
28:19 - Sleep, memory, and learning
33:50 - Targeted memory reactivation
48:34 - Problem solving during sleep
51:50 - 2-way communication with lucid dreamers
1:01:43 - Confounds to the paradigm
1:04:50 - Limitations and future studies
1:09:35 - Lucid dreaming app
1:13:47 - How sleep can inform AI
1:20:18 - Advice for students
Released:
Apr 15, 2022
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.