Use este identificador para citar ou linkar para este item: https://repositorio.ufrn.br/jspui/handle/123456789/26048
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
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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