Computational models of memory consolidation and long-term synaptic plasticity during sleep

Detalhes bibliográficos
Autor(a) principal: Rennó-Costa, César
Data de Publicação: 2018
Outros Autores: Silva, Ana Cláudia Costa da, Blanco, Wilfredo, Ribeiro, Sidarta Tollendal Gomes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/26048
Resumo: The brain stores memories by persistently changing the connectivity between neurons. Sleep is known to be critical for these changes to endure. Research on the neurobiology of sleep and the mechanisms of long-term synaptic plasticity has provided data in support of various theories of how brain activity during sleep affects long-term synaptic plasticity. The experimental findings – and therefore the theories – are apparently quite contradictory, with some evidence pointing to a role of sleep in the forgetting of irrelevant memories, whereas other results indicate that sleep supports the reinforcement of the most valuable recollections. A unified theoretical framework is in need. Computational modeling and simulation provide grounds for the quantitative testing and comparison of theoretical predictions and observed data, and might serve as a strategy to organize the rather complicated and diverse pool of data and methodologies used in sleep research. This review article outlines the emerging progress in the computational modeling and simulation of the main theories on the role of sleep in memory consolidation
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spelling Rennó-Costa, CésarSilva, Ana Cláudia Costa daBlanco, WilfredoRibeiro, Sidarta Tollendal Gomes2018-10-23T14:00:17Z2018-10-23T14:00:17Z2018-10-11https://repositorio.ufrn.br/jspui/handle/123456789/26048doi.org/10.1016/j.nlm.2018.10.003engHomeostasisSequentialReplayActive consolidationEmbossingDown-scalingUp-scalinSimulationLTPLTDComputational models of memory consolidation and long-term synaptic plasticity during sleepinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe brain stores memories by persistently changing the connectivity between neurons. Sleep is known to be critical for these changes to endure. Research on the neurobiology of sleep and the mechanisms of long-term synaptic plasticity has provided data in support of various theories of how brain activity during sleep affects long-term synaptic plasticity. The experimental findings – and therefore the theories – are apparently quite contradictory, with some evidence pointing to a role of sleep in the forgetting of irrelevant memories, whereas other results indicate that sleep supports the reinforcement of the most valuable recollections. A unified theoretical framework is in need. Computational modeling and simulation provide grounds for the quantitative testing and comparison of theoretical predictions and observed data, and might serve as a strategy to organize the rather complicated and diverse pool of data and methodologies used in sleep research. This review article outlines the emerging progress in the computational modeling and simulation of the main theories on the role of sleep in memory consolidationinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNTEXTSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.txtSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.txtExtracted texttext/plain139652https://repositorio.ufrn.br/bitstream/123456789/26048/3/SidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.txtb963e1ef0e25283e478dec149ef25c9bMD53THUMBNAILSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.jpgSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.jpgIM Thumbnailimage/jpeg12019https://repositorio.ufrn.br/bitstream/123456789/26048/4/SidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdf.jpg46fe68b176d62c5958e4d03c60669e8bMD54ORIGINALSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdfSidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdfapplication/pdf551498https://repositorio.ufrn.br/bitstream/123456789/26048/1/SidartaRibeiro_ICe_2018_Computacionalmodelsofmemory.pdfaef8b8c4e8ac0e5cd2702e49a8048f1dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ufrn.br/bitstream/123456789/26048/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/260482021-07-10 18:46:45.654oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-07-10T21:46:45Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Computational models of memory consolidation and long-term synaptic plasticity during sleep
title Computational models of memory consolidation and long-term synaptic plasticity during sleep
spellingShingle Computational models of memory consolidation and long-term synaptic plasticity during sleep
Rennó-Costa, César
Homeostasis
Sequential
Replay
Active consolidation
Embossing
Down-scaling
Up-scalin
Simulation
LTP
LTD
title_short Computational models of memory consolidation and long-term synaptic plasticity during sleep
title_full Computational models of memory consolidation and long-term synaptic plasticity during sleep
title_fullStr Computational models of memory consolidation and long-term synaptic plasticity during sleep
title_full_unstemmed Computational models of memory consolidation and long-term synaptic plasticity during sleep
title_sort Computational models of memory consolidation and long-term synaptic plasticity during sleep
author Rennó-Costa, César
author_facet Rennó-Costa, César
Silva, Ana Cláudia Costa da
Blanco, Wilfredo
Ribeiro, Sidarta Tollendal Gomes
author_role author
author2 Silva, Ana Cláudia Costa da
Blanco, Wilfredo
Ribeiro, Sidarta Tollendal Gomes
author2_role author
author
author
dc.contributor.author.fl_str_mv Rennó-Costa, César
Silva, Ana Cláudia Costa da
Blanco, Wilfredo
Ribeiro, Sidarta Tollendal Gomes
dc.subject.por.fl_str_mv Homeostasis
Sequential
Replay
Active consolidation
Embossing
Down-scaling
Up-scalin
Simulation
LTP
LTD
topic Homeostasis
Sequential
Replay
Active consolidation
Embossing
Down-scaling
Up-scalin
Simulation
LTP
LTD
description The brain stores memories by persistently changing the connectivity between neurons. Sleep is known to be critical for these changes to endure. Research on the neurobiology of sleep and the mechanisms of long-term synaptic plasticity has provided data in support of various theories of how brain activity during sleep affects long-term synaptic plasticity. The experimental findings – and therefore the theories – are apparently quite contradictory, with some evidence pointing to a role of sleep in the forgetting of irrelevant memories, whereas other results indicate that sleep supports the reinforcement of the most valuable recollections. A unified theoretical framework is in need. Computational modeling and simulation provide grounds for the quantitative testing and comparison of theoretical predictions and observed data, and might serve as a strategy to organize the rather complicated and diverse pool of data and methodologies used in sleep research. This review article outlines the emerging progress in the computational modeling and simulation of the main theories on the role of sleep in memory consolidation
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-10-23T14:00:17Z
dc.date.available.fl_str_mv 2018-10-23T14:00:17Z
dc.date.issued.fl_str_mv 2018-10-11
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/26048
dc.identifier.doi.none.fl_str_mv doi.org/10.1016/j.nlm.2018.10.003
url https://repositorio.ufrn.br/jspui/handle/123456789/26048
identifier_str_mv doi.org/10.1016/j.nlm.2018.10.003
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
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instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
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institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
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