Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics

Abstract The membrane potentials of cortical neurons in vivo exhibit spontaneous fluctuations between a depolarized UP state and a resting DOWN state during the slow-wave sleeps or in the resting states. This oscillatory activity is believed to engage in memory consolidation although the underlying...

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Autores principales:	Chi Chung Alan Fung, Tomoki Fukai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0db1429d8c9e40088d57a38565706670
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spelling	oai:doaj.org-article:0db1429d8c9e40088d57a385657066702021-12-02T11:41:24ZTransient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics10.1038/s41598-018-28973-y2045-2322https://doaj.org/article/0db1429d8c9e40088d57a385657066702018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28973-yhttps://doaj.org/toc/2045-2322Abstract The membrane potentials of cortical neurons in vivo exhibit spontaneous fluctuations between a depolarized UP state and a resting DOWN state during the slow-wave sleeps or in the resting states. This oscillatory activity is believed to engage in memory consolidation although the underlying mechanisms remain unknown. Recently, it has been shown that UP-DOWN state transitions exhibit significantly different temporal profiles in different cortical regions, presumably reflecting differences in the underlying network structure. Here, we studied in computational models whether and how the connection configurations of cortical circuits determine the macroscopic network behavior during the slow-wave oscillation. Inspired by cortical neurobiology, we modeled three types of synaptic weight distributions, namely, log-normal, sparse log-normal and sparse Gaussian. Both analytic and numerical results suggest that a larger variance of weight distribution results in a larger chance of having significantly prolonged UP states. However, the different weight distributions only produce similar macroscopic behavior. We further confirmed that prolonged UP states enrich the variety of cell assemblies activated during these states. Our results suggest the role of persistent UP states for the prolonged repetition of a selected set of cell assemblies during memory consolidation.Chi Chung Alan FungTomoki FukaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-16 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chi Chung Alan Fung Tomoki Fukai Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
description	Abstract The membrane potentials of cortical neurons in vivo exhibit spontaneous fluctuations between a depolarized UP state and a resting DOWN state during the slow-wave sleeps or in the resting states. This oscillatory activity is believed to engage in memory consolidation although the underlying mechanisms remain unknown. Recently, it has been shown that UP-DOWN state transitions exhibit significantly different temporal profiles in different cortical regions, presumably reflecting differences in the underlying network structure. Here, we studied in computational models whether and how the connection configurations of cortical circuits determine the macroscopic network behavior during the slow-wave oscillation. Inspired by cortical neurobiology, we modeled three types of synaptic weight distributions, namely, log-normal, sparse log-normal and sparse Gaussian. Both analytic and numerical results suggest that a larger variance of weight distribution results in a larger chance of having significantly prolonged UP states. However, the different weight distributions only produce similar macroscopic behavior. We further confirmed that prolonged UP states enrich the variety of cell assemblies activated during these states. Our results suggest the role of persistent UP states for the prolonged repetition of a selected set of cell assemblies during memory consolidation.
format	article
author	Chi Chung Alan Fung Tomoki Fukai
author_facet	Chi Chung Alan Fung Tomoki Fukai
author_sort	Chi Chung Alan Fung
title	Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
title_short	Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
title_full	Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
title_fullStr	Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
title_full_unstemmed	Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics
title_sort	transient and persistent up states during slow-wave oscillation and their implications for cell-assembly dynamics
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/0db1429d8c9e40088d57a38565706670
work_keys_str_mv	AT chichungalanfung transientandpersistentupstatesduringslowwaveoscillationandtheirimplicationsforcellassemblydynamics AT tomokifukai transientandpersistentupstatesduringslowwaveoscillationandtheirimplicationsforcellassemblydynamics
_version_	1718395384282218496

Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics

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