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The right time to learn: mechanisms and optimization of spaced learning.
Smolen, Paul; Zhang, Yili; Byrne, John H.
Afiliación
  • Smolen P; Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, P.O. BOX 20708, Houston, Texas 77030, USA.
  • Zhang Y; Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, P.O. BOX 20708, Houston, Texas 77030, USA.
  • Byrne JH; Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, P.O. BOX 20708, Houston, Texas 77030, USA.
Nat Rev Neurosci ; 17(2): 77-88, 2016 Feb.
Article en En | MEDLINE | ID: mdl-26806627
ABSTRACT
For many types of learning, spaced training, which involves repeated long inter-trial intervals, leads to more robust memory formation than does massed training, which involves short or no intervals. Several cognitive theories have been proposed to explain this superiority, but only recently have data begun to delineate the underlying cellular and molecular mechanisms of spaced training, and we review these theories and data here. Computational models of the implicated signalling cascades have predicted that spaced training with irregular inter-trial intervals can enhance learning. This strategy of using models to predict optimal spaced training protocols, combined with pharmacotherapy, suggests novel ways to rescue impaired synaptic plasticity and learning.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Memoria a Largo Plazo / Aprendizaje / Modelos Biológicos / Plasticidad Neuronal Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nat Rev Neurosci Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Memoria a Largo Plazo / Aprendizaje / Modelos Biológicos / Plasticidad Neuronal Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nat Rev Neurosci Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos