1. Universidade Federal do Rio Grande do Norte
2. Instituto do Cérebro
3. ICe - Artigos publicados em periódicos

Título:	Computational models of memory consolidation and long-term synaptic plasticity during sleep
Autor(es):	Rennó-Costa, César Silva, Ana Cláudia Costa da Blanco, Wilfredo Ribeiro, Sidarta Tollendal Gomes
Palavras-chave:	Homeostasis;Sequential;Replay;Active consolidation;Embossing;Down-scaling;Up-scalin;Simulation;LTP;LTD
Data do documento:	11-Out-2018
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
URI:	https://repositorio.ufrn.br/jspui/handle/123456789/26048
Aparece nas coleções:	ICe - Artigos publicados em periódicos

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