Abstract
This article presents a dynamic network model of redintegration and response suppression. Redintegration is the process that disambiguates partially retrieved memorial information into an overt response, and response suppression renders retrieved items temporarily unavailable for further report. Most models of serial recall assume the presence of both processes, but few explain how they are performed. Exploration of the network revealed that it can predict recency in serial recall of lists of varying lengths, the pattern of the associated transposition, omission, intrusion, and repetition errors, and the temporal dynamics of retrieval. The network thus augments any existing model of serial recall that assumes a distributed vector representation but does not specify the processes underlying redintegration and response suppression. Cet article presente un modele de reseau dynamique de reconstruction et de suppression de reponse. La reconstruction est le processus qui convertit les informations partiellement recuperees en reponses et la suppression de reponse rend les items recuperes temporairement non disponibles au rappel. La majorite des modeles de rappel seriel presupposent l'existence de ces deux processus, mais peu d'entre eux en expliquent l'execution effectuee. L'exploration du reseau revele qu'il peut predire l'effet de recence pour le rappel seriel de listes de differentes longueurs, les differents patrons d'erreurs et la dynamique temporelle de recuperation. Le reseau peut etre incorpore aux modeles existants de rappel seriel en specifiant les processus sous-jacents a la reconstruction et a la suppression de reponse.