The right time to learn: mechanisms and optimization of spaced learning.
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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Memoria a Largo Plazo
/
Aprendizaje
/
Modelos Biológicos
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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