Deciphering Neural Codes of Memory during Sleep

• Main Authors: Chen, Zhe (Author), Wilson, Matthew A. (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Picower Institute for Learning and Memory (Contributor)
• Format: Article
• Language: English
• Published: Elsevier BV, 2019-10-07T20:20:47Z.
• Subjects: Article
• Online Access: Get fulltext

 Memories of experiences are stored in the cerebral cortex. Sleep is critical for the consolidation of hippocampal memory of wake experiences into the neocortex. Understanding representations of neural codes of hippocampal-neocortical networks during sleep would reveal important circuit mechanisms in memory consolidation and provide novel insights into memory and dreams. Although sleep-associated ensemble spike activity has been investigated, identifying the content of memory in sleep remains challenging. Here we revisit important experimental findings on sleep-associated memory (i.e., neural activity patterns in sleep that reflect memory processing) and review computational approaches to the analysis of sleep-associated neural codes (SANCs). We focus on two analysis paradigms for sleep-associated memory and propose a new unsupervised learning framework ('memory first, meaning later') for unbiased assessment of SANCs. Keywords: sleep-associated memory; memory consolidation; memory replay; neural representation; population decoding; functional imaging