Deciphering Neural Codes of Memory during Sleep
Name
nihms861977.pdf
Description
Accepted version
Size
849.89 KB
Format
Adobe PDF
Checksum (MD5)
2cb88e8b20dbe8c80f0f2c27140efd45
Author(s)
Chen, Zhe
Wilson, Matthew A.
Date Issued
May 2017
Journal
Trends in Neurosciences
Publisher
Elsevier BV
Citation
Chen, Zhe and Matthew A. Wilson. "Deciphering Neural Codes of Memory during Sleep." Trends in Neurosciences 40, 5 (May 2017): 260-275 © 2017 Elsevier Ltd
Version
Author's final manuscript
Abstract
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
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Picower Institute for Learning and Memory
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.tins.2017.03.005
