Concept information
Término preferido
OSCAR model
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Definición
- A computational model of serial recall in short-term memory. Each item in a list is represented by a vector. This vector is associated with a dynamic vector representing the context, through Hebbian learning. The vector of the learning context represents the successive changes of different temporal oscillators throughout the sequence of presentation of the items. These oscillators operate at different frequencies (some are slow, other fast). Remembering the order of items consists of reinstating the temporal learning context by resetting the oscillators. Each successive state context is then used to retrieve the vector of the item associated with it.
Concepto genérico
Etiquetas alternativas
- OSCillator-based Associative Recall
Pertenece al grupo
Creador
- Frank Arnould
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/P66-GNSXTW6L-P
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